Research Skills

Information gathering and analysis. This page lists all 337 Research skills indexed from 86 repositories (updated 2026-10-26). Every skill is free and open source — open one for the install command, or filter the interactive catalog to Research.

1. ai-job-scout luongnv89/skills · score 94/100 (grade A)
   Find open AI engineering jobs that fit a candidate, verify location and apply links, and assess each employer's product. Use for one-off shortlists or a job alert's research step. Don't use for résumé writing, job applications, or company news.
2. competitor-analysis sickn33/antigravity-awesome-skills · score 94/100 (grade A)
   Research competitors with Browserbase discovery, enrichment lanes, screenshots, matrices, and HTML reports.
3. logo-to-stickers sickn33/antigravity-awesome-skills · score 89/100 (grade B)
   Turn a brand mark or existing IP into consistent, playful paper stickers with small visual stories and separate transparent images. Use for brand characters and website sticker sets.
4. survey-generator sickn33/antigravity-awesome-skills · score 89/100 (grade B)
   Generate source-backed AI/ML survey paper artifacts with curated bibliographies and Fireworks/Kimi HTML rendering.
5. using-lwc sickn33/antigravity-awesome-skills · score 89/100 (grade B)
   Use when project decisions, code structure, research, incidents, or verified context must survive future coding-agent sessions through LWC memory and graph indexes.
6. idea-to-blueprint sickn33/antigravity-awesome-skills · score 88/100 (grade B)
   Turn a raw product, app, bot or feature idea into one evidence-backed build blueprint (researched stack, epics, Given/When/Then criteria, tests) that coding agents build one epic per session.
7. niche-opportunity-finder Affitor/affiliate-skills · score 88/100 (grade B)
   Find untapped affiliate niches with real earning potential. Use this skill when the user asks about picking a niche, finding a niche to start affiliate marketing, what niche to get into, niche research, niche ideas, beginner niche selection, low competition niches, profitable niches, or says "I don't know what to promote", "help me pick a niche", "what niche should I start with", "find me a niche with less competition", "niche ideas for affiliate", "is X a good niche for affiliate marketing", "best niches 2024", "untapped niches".
8. developer-seo sickn33/antigravity-awesome-skills · score 87/100 (grade B)
   SEO strategy for technical queries and developer audiences. Covers keyword research for \"how to X in language\" queries, error message SEO, Stack Overflow-style content, technical long-tail keywords, and competing with official documentation sites.
9. gemini-deep-research sickn33/antigravity-awesome-skills · score 87/100 (grade B)
   Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
10. jev-social sickn33/antigravity-awesome-skills · score 86/100 (grade B)
    Run read-only, browser-grounded Instagram, TikTok, or LinkedIn research through Jev routing and socai CLI, returning source-linked evidence and reports.
11. longbridge-research sickn33/antigravity-awesome-skills · score 86/100 (grade B)
    Curated upstream guidance for Longbridge Research; use when the workflow matches the user goal.
12. ml-paper-writing Galaxy-Dawn/claude-scholar · score 86/100 (grade B)
    Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.
13. papers-skill sickn33/antigravity-awesome-skills · score 86/100 (grade B)
    Skill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.
14. scholar-evaluation K-Dense-AI/claude-scientific-skills · score 86/100 (grade B)
    Provides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
15. uxkin-research sickn33/antigravity-awesome-skills · score 85/100 (grade B)
    Research how real products handle a screen, flow or visual style before designing it: search UXKIN's real iOS screens, user journeys and website design systems, compare several and report what they share.
16. apify-facebook-ads-library-scraper sickn33/antigravity-awesome-skills · score 84/100 (grade B)
    Research Meta Ad Library ads by advertiser or keyword with creative links, dates and disclosed reach or spend through the harshmaur/facebook-ads-library-scraper Apify Actor.
17. apify-tiktok-scraper sickn33/antigravity-awesome-skills · score 84/100 (grade B)
    Research TikTok videos, profiles, hashtags, comments and followers with engagement statistics through the harshmaur/tiktok-scraper Apify Actor. No TikTok login.
18. clinical-reports K-Dense-AI/claude-scientific-skills · score 84/100 (grade B)
    Creates safety-bounded draft structures and runs local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.
19. competitor-spy Affitor/affiliate-skills · score 84/100 (grade B)
    Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does [site] make money", "what affiliate strategy does this site use", "spy on competitor affiliates", "reverse engineer affiliate site", "copy what works in my niche", "who are the top affiliates in X niche", "what content gets traffic in my niche", "competitor affiliate analysis".
20. osint-investigation affaan-m/ECC · score 84/100 (grade B)
    Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, image/video geolocation, event reconstruction, public-account and entity verification, artifact interpretation, infrastructure research, or stalled investigations.
21. osint-investigation affaan-m/everything-claude-code · score 84/100 (grade B)
    Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, image/video geolocation, event reconstruction, public-account and entity verification, artifact interpretation, infrastructure research, or stalled investigations.
22. people-data sickn33/antigravity-awesome-skills · score 84/100 (grade B)
    Research LinkedIn professional profiles and public business-contact data, including email/phone lookup, people search, and YouTube channel business-email discovery.
23. bug-hunt-swarm sickn33/antigravity-awesome-skills · score 83/100 (grade B)
    Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures.
24. deep-research sickn33/antigravity-awesome-skills · score 83/100 (grade B)
    Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
25. funnel-planner Affitor/affiliate-skills · score 83/100 (grade B)
    Plan a complete affiliate funnel from research to revenue. Triggers on: "plan my affiliate funnel", "create a funnel strategy", "affiliate business plan", "how to start affiliate marketing", "full funnel roadmap", "plan from scratch", "week by week affiliate plan", "chain skills together", "build my funnel", "affiliate marketing roadmap", "step by step affiliate plan", "onboarding plan".
26. hypothesis-generation K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
    Formulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Used when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.
27. pptx-posters K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
    Creates and audits editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Used when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are required.
28. proprietary-data-generator Affitor/affiliate-skills · score 83/100 (grade B)
    Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: "create original data", "proprietary data", "survey design", "benchmark study", "original research", "data-driven content", "create a survey", "industry benchmark", "aggregated data", "unique data", "first-party data", "data moat", "generate research data", "create a study", "original statistics", "data nobody else has", "competitive data advantage".
29. serply-search-mcp sickn33/antigravity-awesome-skills · score 83/100 (grade B)
    Search Google, Bing, Google News and Google Scholar, and read public pages, with the Serply MCP server. Use when the user chooses Serply or its connected tools for current information and source verification.
30. altorank sickn33/antigravity-awesome-skills · score 82/100 (grade B)
    Run AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.
31. auto-research sickn33/antigravity-awesome-skills · score 82/100 (grade B)
    Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
32. bgpt-paper-search K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
    Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.
33. krexa sickn33/antigravity-awesome-skills · score 82/100 (grade B)
    Turn a trading idea, post or video into fixed rules, backtest and paper-trade them, and request a user-approved live agent through Krexa's MCP server. Cannot move funds.
34. multi-source-search sickn33/antigravity-awesome-skills · score 82/100 (grade B)
    Cross-validate web research and produce an offline-checkable evidence ledger with explicit source diversity, confidence, conflicts, and gaps.
35. pangolinfo-amazon-data-research sickn33/antigravity-awesome-skills · score 82/100 (grade B)
    Plan and run read-only Amazon product, review, category, seller, and market research through Pangolinfo's documented MCP bridge.
36. peer-review K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
    Prepares evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.
37. analytical-method-validation K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
    Plans, executes, and documents validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include "method validation", "analytical method validation", "AMV", "validation protocol", "acceptance criteria", "linearity", "reportable range", "accuracy and precision", "repeatability", "intermediate precision", "recovery", "LOD", "LOQ", "detection limit", "quantitation limit", "specificity", "robustness", "method transfer", "method comparison", "Deming", "Passing-Bablok", "Bland-Altman", "equivalence testing", "OOS investigation", "ICH Q2", "Q2(R2)", "Q14", "USP 1225", "ICH M10", "incurred sample reanalysis", "ISR", "CLSI EP", and any request to show that an assay works.
38. clinical-decision-support K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
    Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.
39. competitor-profiling sickn33/antigravity-awesome-skills · score 81/100 (grade B)
    When the user wants to research, profile, or analyze competitors from their URLs.
40. deepapi sickn33/antigravity-awesome-skills · score 81/100 (grade B)
    Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.
41. marine-carbonate-chemistry K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
    Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.
42. monte-carlo-performance-diagnosis sickn33/antigravity-awesome-skills · score 81/100 (grade B)
    Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes.
43. neurokit2 K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
    Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
44. pathml K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
    Supports local computational pathology research with PathML: slide loading and tiling, preprocessing and QC, h5path storage, multiplex quantification, spatial graphs, and bounded model inference. Use for whole-slide H&E, CODEX, Vectra, Mesmer, HoVer-Net, and HACTNet workflows.
45. trending-content-scout Affitor/affiliate-skills · score 81/100 (grade B)
    Scan social platforms for top-performing content by engagement before you create anything. Use this skill when the user wants to see what content is winning in a niche, find viral content patterns, research what's working on YouTube/TikTok/X/Reddit, benchmark engagement, discover content gaps, or says "what content is working for [topic]", "show me top performing content about [keyword]", "what's trending in [niche]", "find viral content about [product]", "content research for [keyword]", "what gets views in [niche]", "engagement analysis for [topic]", "scout the competition", "what videos are getting the most views about [keyword]", "social listening for [topic]", "trending content in [niche]", "top content analysis", "what hooks work for [keyword]", "content intelligence", "find winning formats".
46. autoskill K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Analyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.
47. citation-management K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
48. deep-research-framework sickn33/antigravity-awesome-skills · score 80/100 (grade B)
    Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Use when the user asks for a research report, topic investigation, or competitive analysis.
49. helium-mcp sickn33/antigravity-awesome-skills · score 80/100 (grade B)
    Connect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources
50. infographics K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Creates and reviews infographics with Nano Banana 2 via OpenRouter. Use for statistical summaries, timelines, comparisons, processes, and visual explanations with supplied data or optional Sonar research. Supports ten layouts, eight style presets, reference images, and accessible palette starting points.
51. latex-posters K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Creates research posters in LaTeX using beamerposter, tikzposter, or baposter. Use for conference posters, academic presentations, multi-column scientific layouts, figure integration, typography, compilation, and PDF preflight.
52. lex sickn33/antigravity-awesome-skills · score 80/100 (grade B)
    Structured research aid for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.
53. market-research-reports K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Builds evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
54. open-notebook K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Organizes research with the self-hosted Open Notebook alternative to NotebookLM. Supports source ingestion (PDFs, web pages, audio, video, and Office documents), cited document chat, text and vector search, notes, custom transformations, and multi-speaker podcasts. Use when automating Open Notebook through its REST API or configuring its local or cloud AI providers, including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral.
55. paperzilla K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Reads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.
56. scientific-slides K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Builds slide decks and presentations for research talks. Used for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.
57. submit-program Affitor/affiliate-skills · score 80/100 (grade B)
    Research an affiliate program and create a verified listing for openaffiliate.dev. Use this skill when the user asks anything about listing a program, adding an affiliate program to the directory, submitting a program to list, creating a listing, documenting an affiliate program, sharing an affiliate program, writing a program profile, posting a program to openaffiliate.dev, or contributing a new program. Also trigger for: "list a program", "add affiliate program", "submit program to list", "create listing for X", "document affiliate program", "share affiliate program", "write a listing", "post to openaffiliate.dev", "add X to the directory", "register an affiliate program", "publish affiliate program", "new program listing", "profile this affiliate program", "catalog this program".
58. what-if-oracle K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
    Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.
59. astropy sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
60. autoresearch github/awesome-copilot · score 79/100 (grade C)
    Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
61. axonx sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Develop AxonX research plugins and operate quantitative research tasks through CLI or MCP, inspecting execution status, logs, artifacts, and lineage.
62. bilig-workpaper sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Use formula-backed WorkPaper JSON and MCP tools for agent spreadsheet tasks without driving Excel or a browser UI.
63. competitor-ad-intelligence sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Research public competitor ads, analyze creative patterns and landing pages, and produce an evidence-labeled strategic teardown.
64. content-research-brief Affitor/affiliate-skills · score 79/100 (grade C)
    Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says "research [topic] for me", "find sources about [keyword]", "content brief for [topic]", "what's the latest on [product]", "research before writing", "collect articles about [keyword]", "trending news about [topic]", "gather sources for my article", "brief me on [topic]", "what are people saying about [product]", "news roundup for [keyword]", "research brief", "source collection", "content research", "prep research for writing".
65. crossframe-suite sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Use when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.
66. hf-mcp sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
67. hugging-face-paper-publisher sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
68. hugging-face-papers sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
69. keyword-cluster-architect Affitor/affiliate-skills · score 79/100 (grade C)
    Map 50-200+ keywords into topical clusters for SEO domination. Build content roadmaps for topical authority. Triggers on: "keyword research", "keyword clustering", "topical authority", "keyword map", "keyword strategy", "content roadmap for SEO", "keyword grouping", "topic clusters", "SEO keyword plan", "map my keywords", "keyword cluster", "hub and spoke content", "build topical authority", "SEO content plan", "keyword universe".
70. latex-paper-conversion sickn33/antigravity-awesome-skills · score 79/100 (grade C)
    This skill should be used when the user asks to convert an academic paper in LaTeX from one format (e.g., Springer, IPOL) to another format (e.g., MDPI, IEEE, Nature). It automates extraction, injection, fixing formatting, and compiling.
71. parallel-web K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
    Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.
72. pymoo K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
    Solves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.
73. scientific-critical-thinking K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
    Evaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.
74. apify-market-research sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
75. build sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    Use when developing a major feature: research the project, create a phased implementation plan, track progress and verify phase outcomes before declaring completion.
76. build-evidence-map github/awesome-copilot · score 78/100 (grade C)
    Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.
77. citation-management sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    Manage citations systematically throughout the research and writing process.
78. clinical-research alirezarezvani/claude-skills · score 78/100 (grade C)
    Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.
79. customer-research sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    When the user wants to conduct, analyze, or synthesize customer research.
80. dask K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
    Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.
81. deep-scrape davidondrej/skills · score 78/100 (grade C)
    Build sourced JSON dossiers on people, companies, or topics with DeepAPI. Use for profiles, prospects, vendor due diligence, or customer research across sources; use deep-research for recommendations.
82. grants alirezarezvani/claude-skills · score 78/100 (grade C)
    NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.
83. inbox-triage alirezarezvani/claude-skills · score 78/100 (grade C)
    Runs a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and updates the knowledge base with learnings. Designed to run on a recurring schedule (1-3x daily) or on demand. Use when the user wants their inbox processed, in any variation (e.g., 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'). Requires the inbox-setup skill to have been run first.
84. last30days sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    Research a topic from the last 30 days on Reddit + X + Web, summarize evidence, and write copy-paste-ready prompts for the user's target tool.
85. liteparse K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
    Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are spatial text boxes, Markdown, page raster output, and local parsing with optional custom HTTP OCR.
86. literature-review K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
    Conducts systematic, scoping, and narrative literature reviews using PubMed, arXiv, bioRxiv, Semantic Scholar, and other appropriate sources. Use for research synthesis, reproducible literature searches, screening, citation checking, or preparing Markdown and PDF reviews. Tracks search coverage, records versus studies, and evidence limitations; supports meta-analysis planning but does not supply a meta-analysis engine.
87. research-finance alirezarezvani/claude-skills · score 78/100 (grade C)
    Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won).
88. research-lookup K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
    Compiles current scholarly evidence for a scientific manuscript or research brief when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source retrieval, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.
89. search-specialist sickn33/antigravity-awesome-skills · score 78/100 (grade C)
    Research questions with focused web searches, primary-source verification, and explicit evidence gaps.
90. statistical-analysis K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
    Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
91. syllabus alirezarezvani/claude-skills · score 78/100 (grade C)
    Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.
92. alphagenome K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
    Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), scores variants or scans windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and builds Atlas website deep links. Use when the user mentions AlphaGenome, AlphaGenome Atlas, AVI or AlphaGenome Variant Impact, DeepMind variant effect prediction, or wants to prioritise or mechanistically interpret non-coding, regulatory, splicing, enhancer, promoter, or chromatin-accessibility effects of SNVs from a VCF, credible set, or region. Research use only; not a clinical tool.
93. antithesis-research antithesishq/antithesis-skills · score 77/100 (grade C)
    Analyze a codebase to figure out how it should be tested with Antithesis: map the system, identify failure-prone areas and testable properties, and produce the research artifacts needed for workload and environment planning.
94. autoresearch-agent alirezarezvani/claude-skills · score 77/100 (grade C)
    Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
95. cs-ux-researcher alirezarezvani/claude-skills · score 77/100 (grade C)
    UX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when product decisions need user evidence — e.g., planning interview scripts and recruiting criteria for a discovery study, or synthesizing usability-test sessions into prioritized findings and updated personas.
96. examprep-ai sickn33/antigravity-awesome-skills · score 77/100 (grade C)
    Exam preparation assistant that converts syllabi, past papers, or notes into a ranked High Score Roadmap. Covers theory, numericals, MCQs, coding, and lab prep, ordered Easy → Medium → Hard. Use for last-minute revision, important topics, and question prediction.
97. geomaster K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
    Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust.
98. project-state-governor sickn33/antigravity-awesome-skills · score 77/100 (grade C)
    Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
99. quality-nonconformance sickn33/antigravity-awesome-skills · score 77/100 (grade C)
    Operational guidance for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing.
100. red-team-tools sickn33/antigravity-awesome-skills · score 77/100 (grade C)
     Implement proven methodologies and tool workflows from top security researchers for effective reconnaissance, vulnerability discovery, and bug bounty hunting. Automate common tasks while maintaining thorough coverage of attack surfaces.
101. research-grants K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
     Supports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.
102. research-ops-skills alirezarezvani/claude-skills · score 77/100 (grade C)
     Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
103. research-summarizer alirezarezvani/claude-skills · score 77/100 (grade C)
     Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.
104. venue-templates K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
     Prepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Supports selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submission PDF.
105. verify-citations sickn33/antigravity-awesome-skills · score 77/100 (grade C)
     Verify citations and references in a document, report, or article against real sources. Use when the user asks to fact-check, verify references, check citations, or validate evidence in research reports, tender responses, whitepapers, or academic writing.
106. wiki-builder sickn33/antigravity-awesome-skills · score 77/100 (grade C)
     Create and maintain reusable research wikis with source provenance, configurable structure, and local markdown outputs.
107. youtube-seo-optimizer sickn33/antigravity-awesome-skills · score 77/100 (grade C)
     Generate complete YouTube & podcast SEO packages with live-researched keywords — titles, descriptions, tags, hashtags, chapters, and audit fixes. Use for new or underperforming content.
108. expression-skill Galaxy-Dawn/claude-scholar · score 76/100 (grade C)
     This skill should be used when the user asks for efficient communication, task reports, file-operation summaries, research discussion, study-note synthesis, planning, writing feedback, or responses that need conclusion-first structure, concrete evidence, risk disclosure, and useful next steps.
109. last30days mvanhorn/last30days-skill · score 76/100 (grade C)
     Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.
110. litreview alirezarezvani/claude-skills · score 76/100 (grade C)
     Searches academic literature through free, keyless PubMed and OpenAlex APIs, optionally augments results with Consensus MCP when connected, builds a PICO, SPIDER, decomposition, or hybrid search plan, and produces a formatted Word research-orientation guide. Uses brief intake and post-reconnaissance checkpoints to confirm the framework, sub-areas, and depth (5, 10, or 20 queries) before spending the search budget. The output is a launching pad, not a finished review. Use when the user requests a literature review, starts a paper or literature-oriented research project, or needs structured research on a topic. Do NOT use for a single paper lookup or a quick paper list; use a plain PubMed, OpenAlex, or Consensus query instead.
111. mantis-patch google/mantis · score 76/100 (grade C)
     Generates minimal security fixes using transactional isolation (shadow directories or file backups), applies patches, and verifies them. Use when security findings are successfully reproduced and need patches applied and verified. Don't use for initial vulnerability research or reproduction payload generation.
112. microsoft-skill-creator github/awesome-copilot · score 76/100 (grade C)
     Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
113. notion-meeting-intelligence openai/skills · score 76/100 (grade C)
     Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
114. paper-lookup K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
     Searches 18 scholarly APIs for papers, preprints, citations, open-access full text, repository records, and journal OA status, and returns results with reproducible provenance. Covers PubMed, PMC, Europe PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall, OpenCitations, PubTator3, Zenodo, Figshare, ROR, BioStudies, and DOAJ. Use when searching for papers, citations, DOI/PMID/arXiv lookups, abstracts, full text, open-access PDFs, preprints, citation graphs, author publications, biomedical entity annotations, deposited records (Zenodo, Figshare, BioStudies), institution ROR IDs, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X", "look up this DOI", "who cites this paper", or "get me the PDF".
115. pyzotero K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
     Manages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API. Applies when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
116. agentfolio sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
117. app-store-optimization sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
118. competitor-ad-intelligence github/awesome-copilot · score 75/100 (grade C)
     Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor''s paid ads. Trigger for prompts like "what ads is [competitor] running", "tear down their ad strategy", "competitor ad analysis", "find ad angles we haven''t tried", or "reverse-engineer their paid funnel". Do not trigger for organic/SEO competitor research or website positioning analysis.
119. competitor-alternatives alirezarezvani/claude-skills · score 75/100 (grade C)
     When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
120. create-technical-spike github/awesome-copilot · score 75/100 (grade C)
     Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
121. dossier alirezarezvani/claude-skills · score 75/100 (grade C)
     Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.
122. earnings-preview-single anthropics/financial-services · score 75/100 (grade C)
     Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
123. humanize-chinese sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural.
124. infinite-gratitude sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Plan and synthesize multi-perspective research; use parallel agents only when authorized and verify findings against sources.
125. investigate garrytan/gstack · score 75/100 (grade C)
     Systematic debugging with root cause investigation. (gstack)
126. malware-analyst sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Expert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification.
127. nature-polishing Galaxy-Dawn/claude-scholar · score 75/100 (grade C)
     Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.
128. product-research alirezarezvani/claude-skills · score 75/100 (grade C)
     Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.
129. skill-optimizer sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.
130. ux-researcher-designer alirezarezvani/claude-skills · score 75/100 (grade C)
     UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use when conducting user research, creating personas, mapping user journeys, planning usability tests, or validating designs.
131. xvary-stock-research sickn33/antigravity-awesome-skills · score 75/100 (grade C)
     Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
132. arbor K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
     Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
133. capa-officer alirezarezvani/claude-skills · score 74/100 (grade C)
     CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause determination, corrective action tracking, effectiveness verification, or CAPA program optimization.
134. design-consultation garrytan/gstack · score 74/100 (grade C)
     Design consultation: understands your product, researches the landscape, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview... (gstack)
135. gdpr-audit-prep alirezarezvani/claude-skills · score 74/100 (grade C)
     /compliance-os:gdpr-audit-prep [scope] — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence.
136. paper-self-review Galaxy-Dawn/claude-scholar · score 74/100 (grade C)
     This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
137. paperclip K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
     Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests literature retrieval and evidence extraction through Paperclip.
138. patch-diff-exploit sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     Locate vulnerability fixes in vendor patches, diff binaries across versions, and build N-day PoCs. Attack-side complement to binary-diff for authorized research.
139. postel-writing sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     Draft X (Twitter) or LinkedIn posts in the user's own voice, research high-performing posts, and schedule or publish them through the user's Postel account.
140. product-skills alirezarezvani/claude-skills · score 74/100 (grade C)
     Use when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 standalone product-team plugins (user stories, Apple HIG, code-to-PRD, research summarizer). Triggers on 'help me prioritize', 'plan a product experiment', 'we ship features nobody uses', 'run the discovery loop', 'is our OST sound'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a continuous-discovery loop (Torres cadence tracker + OST linter as machine gates) or a full goal→plan→execute→verify→close run through the repo-wide agent-harness. Distinct from project-management (how to deliver vs what to build), marketing/landing (from-scratch pages), and engineering/agent-harness (the generic loop engine this orchestrator plugs into).
141. protocol-reverse-engineering sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
142. research-prompt sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     Turn vague research needs into one precise deep-research prompt with context and output criteria.
143. scientific-brainstorming K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
     Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.
144. slack-qa-investigate warpdotdev/oz-skills · score 74/100 (grade C)
     Investigate and answer repository questions in read-only mode. Use when asked for research-backed answers that require codebase and documentation investigation without making file changes.
145. systematic-literature-review bytedance/deer-flow · score 74/100 (grade C)
     Use this skill when the user wants a systematic literature review, survey, or synthesis across multiple academic papers on a topic. Also covers annotated bibliographies and cross-paper comparisons. Searches arXiv and outputs reports in APA, IEEE, or BibTeX format. Not for single-paper tasks — use academic-paper-review for reviewing one paper.
146. uxui-principles sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context into AI coding sessions.
147. wiki-researcher sickn33/antigravity-awesome-skills · score 74/100 (grade C)
     You are an expert software engineer and systems analyst. Use when user asks \"how does X work\" with expectation of depth, user wants to understand a complex system spanning many files, or user asks for architectural analysis or pattern investigation.
148. aws-cloudwatch-investigation github/awesome-copilot · score 73/100 (grade C)
     Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.
149. context7-auto-research sickn33/antigravity-awesome-skills · score 73/100 (grade C)
     Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
150. deep-research alirezarezvani/claude-skills · score 73/100 (grade C)
     Run a disciplined, multi-source research investigation for a high-stakes question or decision — fan-out web search across many channels, parallel sub-agents, source triangulation (each claim backed by ≥3 independent sources), an adversarial review pass, and every source saved to its own file with verbatim quotes for reuse. Use when a low-quality answer is expensive: strategy work, comparing N products/methods/markets, validating a hypothesis with external data, or mapping how a field works. NOT for quick fact-checks (answer directly), structured 12-dimension competitor scoring (use competitive-teardown), or fast topic overviews where the decision risk is low (use the research router instead).
151. earnings-analysis anthropics/financial-services · score 73/100 (grade C)
     Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
152. exa-search sickn33/antigravity-awesome-skills · score 73/100 (grade C)
     Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
153. gan-style-harness affaan-m/ECC · score 73/100 (grade C)
     GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar.
154. gan-style-harness affaan-m/everything-claude-code · score 73/100 (grade C)
     GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar.
155. idea-os sickn33/antigravity-awesome-skills · score 73/100 (grade C)
     Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.
156. initiating-coverage anthropics/financial-services · score 73/100 (grade C)
     Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier tasks.
157. lab-hardware-cad K-Dense-AI/claude-scientific-skills · score 73/100 (grade C)
     Designs custom laboratory hardware as parametric build123d models and exports fabrication artifacts as STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research task needs a physical part that must mate with standardized labware, an optical table, a cage system, or a printer, CNC, or laser process.
158. mantis-researcher google/mantis · score 73/100 (grade C)
     Audits production source code files based on the strategy in workspace/plan.json. Use when a review plan exists and you need to perform static analysis and deep-dive reviews of targeted files. Don't use for planning, deduplicating, or writing patches.
159. nature-data Galaxy-Dawn/claude-scholar · score 73/100 (grade C)
     Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
160. performance-review-writer github/awesome-copilot · score 73/100 (grade C)
     Draft performance reviews, self-assessments, peer reviews, and upward feedback in your own voice. Analyzes your contributions, emails, and meeting history via WorkIQ, then produces honest, impact-focused drafts using the STAR format. USE FOR: write my performance review, draft self-assessment, peer review, 360 feedback, annual review, mid-year review, upward feedback, write review for colleague, performance appraisal.
161. wireshark-analysis sickn33/antigravity-awesome-skills · score 73/100 (grade C)
     Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting.
162. x-twitter-growth alirezarezvani/claude-skills · score 73/100 (grade C)
     X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
163. academic-pipeline Imbad0202/academic-research-skills · score 72/100 (grade C)
     Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로, flujo de trabajo académico, investigación a artículo, flujo completo de artículo, pipeline de investigación completa, publicación de investigación, flujo de trabajo completo del artículo.
164. agenthub alirezarezvani/claude-skills · score 72/100 (grade C)
     Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
165. consciousness-council K-Dense-AI/claude-scientific-skills · score 72/100 (grade C)
     Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate analysis, "mind council", or deliberate comparison of perspectives on a difficult choice.
166. discord-reader himself65/finance-skills · score 72/100 (grade C)
     Read Discord for financial research through opencli connected to the Discord desktop app: servers, channels, members, recent messages in the active channel, and message search. Use this skill whenever the user wants to check their Discord, list servers or channels, read or search messages in trading, crypto, or market communities, or gauge what a Discord community is saying about a ticker or coin. Read-only: it cannot send, react to, edit, or delete messages.
167. exa-search K-Dense-AI/claude-scientific-skills · score 72/100 (grade C)
     Searches scientific and technical web content with Exa and extracts page or PDF text from URLs in batches. Supports scholarly discovery with the publication category and academic domain filters. Applies to requests to search the web, look up current research, fetch a page, or extract an article using Exa.
168. exa-search affaan-m/ECC · score 72/100 (grade C)
     Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
169. exa-search affaan-m/everything-claude-code · score 72/100 (grade C)
     Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
170. fp-ts-pragmatic sickn33/antigravity-awesome-skills · score 72/100 (grade C)
     A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.
171. google-cloud-scc-remediation google/skills · score 72/100 (grade C)
     Remediates Google Cloud Security Command Center findings, including IAM permission fixes, cloud resource misconfigurations, vulnerabilities, and Toxic Combinations. Use when asked to fix, remediate, or mitigate a Security Command Center finding or address attack paths. Don't use for general IAM policy querying without a Security Command Center finding. For runtime threat detections, this skill provides containment and investigation guidance rather than automated configuration fixes.
172. hugging-face-cli sickn33/antigravity-awesome-skills · score 72/100 (grade C)
     Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.
173. minecraft-bukkit-pro sickn33/antigravity-awesome-skills · score 72/100 (grade C)
     Master Minecraft server plugin development with Bukkit, Spigot, and Paper APIs.
174. post-acceptance Galaxy-Dawn/claude-scholar · score 72/100 (grade C)
     This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance conference preparation. Provides comprehensive workflow for presentation, poster, and promotion content creation.
175. product-manager-toolkit alirezarezvani/claude-skills · score 72/100 (grade C)
     Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.
176. pulse alirezarezvani/claude-skills · score 72/100 (grade C)
     Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
177. results-report Galaxy-Dawn/claude-scholar · score 72/100 (grade C)
     This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.
178. semanticscholar-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
     Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas.
179. spec-to-code-compliance sickn33/antigravity-awesome-skills · score 72/100 (grade C)
     Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.
180. sr-screener Imbad0202/academic-research-skills · score 72/100 (grade C)
     Protocol-driven study screening for systematic, scoping and rapid reviews. Turns a proposal or PROSPERO protocol into confirmed eligibility rules, then screens titles/abstracts and full texts with two blinded AI reviewers and a third-reviewer adjudicator: ordered exclusion codes, no silent defaults, resumable batch runs, QC (seed studies, near-miss rechecks, kappa and PABAK), PRISMA 2020 counts, EndNote/Zotero RIS groups, an Excel log, a methods draft and a literature_corpus handoff to academic-paper. Reads RIS, PubMed .nbib, Web of Science and CSV exports; removes duplicates. 8 modes: protocol, quick, pilot, ta-screen, ft-screen, adjudicate, audit, report. Use it to screen records against eligibility criteria, pilot screening, resolve screening conflicts, audit exclusions or report the selection process. Triggers on: screen these papers, title/abstract screening, full-text screening, screening conflicts, inclusion criteria, PRISMA flow, غربالگری مقالات, اسکرینینگ عنوان و چکیده, معیارهای ورود و خروج.
181. tavily-web sickn33/antigravity-awesome-skills · score 72/100 (grade C)
     Web search, content extraction, crawling, and research capabilities using Tavily API. Use when you need to search the web for current information, extracting content from URLs, or crawling websites.
182. visa-doc-translate affaan-m/ECC · score 72/100 (grade C)
     Translate visa document images (bank deposit, employment, income, and retirement certificates; HEIC, PNG, or JPG) into English via OCR and produce a bilingual PDF pairing the original image with a formatted certified-style translation. Use when a visa application needs a document translated to English, an official certificate OCR'd and translated, or a bilingual translation PDF for immigration paperwork.
183. visa-doc-translate affaan-m/everything-claude-code · score 72/100 (grade C)
     Translate visa document images (bank deposit, employment, income, and retirement certificates; HEIC, PNG, or JPG) into English via OCR and produce a bilingual PDF pairing the original image with a formatted certified-style translation. Use when a visa application needs a document translated to English, an official certificate OCR'd and translated, or a bilingual translation PDF for immigration paperwork.
184. vuln-research briiirussell/cybersecurity-skills · score 72/100 (grade C)
     Research a specific CVE or vulnerability disclosure end-to-end — what version is affected, is your code reachable, is there a public PoC, is there a patch, what's the exposure window, what's the mitigation if you can't patch immediately. Use when the user mentions 'CVE,' 'vulnerability research,' 'is this CVE relevant,' 'zero-day,' 'CISA KEV,' 'GitHub Security Advisory,' 'reachability analysis,' 'patch analysis,' 'exploit availability,' 'EPSS,' 'CVSS,' or 'should we drop everything and patch this.'
185. bug-hunt-swarm Dimillian/Skills · score 71/100 (grade C)
     Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits.
186. citation-verification Galaxy-Dawn/claude-scholar · score 71/100 (grade C)
     This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.
187. daily-paper-generator Galaxy-Dawn/claude-scholar · score 71/100 (grade C)
     Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.
188. deep-research bytedance/deer-flow · score 71/100 (grade C)
     Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information.
189. deepapi davidondrej/skills · score 71/100 (grade C)
     Use DeepAPI for all web search, deep research, and web scraping (websites, LinkedIn, GitHub, X/Twitter, YouTube, Instagram) instead of built-in search, research, fetch, or browser tools. Prefer dedicated platform endpoints over web search. Instagram has profile, post, comment, and hashtag endpoints; no generic search. Use Deep Scrape for sourced JSON dossiers on people, companies, or topics. Also use it to navigate and act on public websites, draft and send safe email, and generate images.
190. doc-and-modernize github/awesome-copilot · score 71/100 (grade C)
     Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, document, research, or onboard onto a codebase ("research this repo", "write up the architecture", "do an architecture deep dive", "document how this codebase works", "map the system design", "create an onboarding doc"). Modernization mode generates a phased plan to modernize, migrate, upgrade, or rewrite a legacy system ("modernize this", "plan the migration", "how would we rewrite this", "how do we get off this legacy stack"); if no architecture document exists yet it first runs Documentation mode, then continues straight through to the plan. It assumes the legacy stack may be dead, runs a time-boxed feasibility spike, and picks the highest achievable rung on a safety ladder instead of demanding a fully-green legacy CI gate up front.
191. fp-pragmatic sickn33/antigravity-awesome-skills · score 71/100 (grade C)
     A practical, jargon-free guide to functional programming - the 80/20 approach that gets results without the academic overhead
192. hardware-security sickn33/antigravity-awesome-skills · score 71/100 (grade C)
     Authorized hardware and embedded interface security research: UART/JTAG discovery, debug-pad triage, secure-boot overview, and offline firmware analysis.
193. lead-research-assistant ComposioHQ/awesome-claude-skills · score 71/100 (grade C)
     Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
194. mantis-dedupe google/mantis · score 71/100 (grade C)
     Consolidates raw security findings to eliminate redundant reports. Use when raw findings have been generated by the researcher and need consolidation before review. Don't use for initial code auditing or patch generation.
195. market-research alirezarezvani/claude-skills · score 71/100 (grade C)
     Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.
196. research-ideation Galaxy-Dawn/claude-scholar · score 71/100 (grade C)
     This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.
197. research-paper-writing Master-cai/Research-Paper-Writing-Skills · score 71/100 (grade C)
     Improve academic paper writing quality for ML/CV/NLP-style papers with clear section structure, paragraph flow, and reviewer-facing presentation. Use when drafting or revising Abstract, Introduction, Related Work, Method, Experiments, or Conclusion; polishing figures/tables; checking claim-support alignment; or performing self-review before submission.
198. scientific-db-uspto-database affaan-m/ECC · score 71/100 (grade C)
     USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
199. scientific-db-uspto-database affaan-m/everything-claude-code · score 71/100 (grade C)
     USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
200. security-review github/awesome-copilot · score 71/100 (grade C)
     AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.
201. telegram-reader himself65/finance-skills · score 71/100 (grade C)
     Read Telegram channels and groups for financial news and market research with the tdl CLI: list chats and channels, find a channel by name, and export recent messages or a date or ID range. Use this skill whenever the user wants to check their Telegram, see what's new in their channels, read or export messages from a news, crypto, or trading channel or group, or gather market news and signals posted on Telegram. Read-only: it cannot send messages or join or leave channels.
202. ui-ux-designer sickn33/antigravity-awesome-skills · score 71/100 (grade C)
     Create interface designs, wireframes, and design systems. Masters user research, accessibility standards, and modern design tools.
203. windows-ad sickn33/antigravity-awesome-skills · score 71/100 (grade C)
     Authorized Active Directory and Windows identity attacks: Kerberos abuse, AD CS escalation, BloodHound path analysis, NTLM relay, and domain privilege-escalation research.
204. agent-harness alirezarezvani/claude-skills · score 70/100 (grade C)
     Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).
205. antithesis-mutation-testing antithesishq/antithesis-skills · score 70/100 (grade C)
     Validate that an Antithesis property catalog can actually catch bugs. For each safety property, inject one realistic mutant into the SUT, run it, and confirm the targeted property fires. Diagnoses survivors as a bad mutant, bad oracle, bad workload, or bad property, and routes fixes back to antithesis-workload or antithesis-research. Use once the harness is built and a baseline run is green.
206. bio-crispr-screens-jacks-analysis GPTomics/bioSkills · score 70/100 (grade C)
     Runs JACKS (Joint Analysis of CRISPR/Cas9 Knockout Screens; Allen et al 2019 Genome Research) which models per-sgRNA log-fold-change as the product of a treatment-dependent gene-essentiality term and a treatment-independent guide-efficacy term. Covers the Bayesian decomposition math, the hierarchical efficacy prior shared across screens performed with the same library, when JACKS outperforms MAGeCK (multi-screen joint analysis, libraries with broad efficacy variance) and when it does not (single screen, novel libraries with no prior efficacy), library-reuse efficacy transfer, downstream essentiality interpretation, and the 2.5x sample-size reduction enabled by efficacy-aware testing. Use when running multiple screens with the same library, when guide-level noise is suspected to dominate per-gene signal, when reusing published essentiality reference screens for efficacy priors, or when comparing screens performed across cell lines that share library but differ biologically.
207. browser-extension-reverse sickn33/antigravity-awesome-skills · score 70/100 (grade C)
     Authorized reverse engineering of Chrome/Firefox extensions: manifest analysis, background workers, content scripts, and extension-based credential or data-exposure research.
208. competitive-teardown alirezarezvani/claude-skills · score 70/100 (grade C)
     Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
209. deep-research Imbad0202/academic-research-skills · score 70/100 (grade C)
     Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 三段式文獻掃描, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘, revisión de literatura, metaanálisis
210. image-manipulation-image-magick github/awesome-copilot · score 70/100 (grade C)
     Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.
211. interview-mapper alirezarezvani/claude-skills · score 70/100 (grade C)
     Maps a single interview transcript into a verbatim-grounded, lens-coded structure and checks whether analytic conclusions hold across independent re-runs. Use when the user wants to code, map, interpret, or make sense of an interview transcript, depth interview, custdev/JTBD/expert/usability/exit/win-loss/focus-group session, or wants cross-interview synthesis (insight cards, patterns) built up from coded transcripts — even if they don't name a method. Every conclusion must carry a verbatim quote verified against the source text; unstable conclusions are flagged for a human, never resolved by a single silent pass. Not for generating new interviews, not for plain audio transcription, and not for research-method or sample-size planning above the transcript (see product-research).
212. marketing-strategy-pmm alirezarezvani/claude-skills · score 70/100 (grade C)
     Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.
213. orch-pipeline affaan-m/ECC · score 70/100 (grade C)
     Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.
214. orch-pipeline affaan-m/everything-claude-code · score 70/100 (grade C)
     Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.
215. osint-recon briiirussell/cybersecurity-skills · score 70/100 (grade C)
     Gather and correlate open source intelligence from public sources for authorized investigations, threat intelligence, and attack surface assessment. Use when the user mentions 'OSINT,' 'open source intelligence,' 'digital footprint,' 'public records,' 'threat intelligence,' 'investigate a domain,' or needs to research a target using publicly available data.
216. publication-chart-skill Galaxy-Dawn/claude-scholar · score 70/100 (grade C)
     This skill should be used when the user asks for a publication-quality scientific figure or table, wants help choosing the right chart for results, needs a paper-ready pubfig or pubtab workflow, wants a figure + companion table for a results section, wants an Excel sheet turned into publication-ready LaTeX, or wants an existing scientific figure/table reviewed and upgraded.
217. salary-negotiation-prep Paramchoudhary/ResumeSkills · score 70/100 (grade C)
     Research market rates, build negotiation strategy, and create counter-offer scripts
218. search-first affaan-m/ECC · score 70/100 (grade C)
     Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist.
219. search-first affaan-m/everything-claude-code · score 70/100 (grade C)
     Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist.
220. secops-triage google/skills · score 70/100 (grade C)
     Expert guidance for security alert triage in Google SecOps. Use when investigating and triaging security alerts, determining false positives vs. true positives, assessing entity risk, adjusting alert severity or priority, and closing or escalating alerts and cases. Don't use for deep multi-hop incident investigations across host timelines (use secops-investigate), proactive threat hunting or retroactive IoC sweeps (use secops-hunt), or authoring new detection rules (use secops-detection-engineering).
221. team-collaboration-issue sickn33/antigravity-awesome-skills · score 70/100 (grade C)
     You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause analysis, testing, and pull request preparation.
222. tear-sheet anthropics/financial-services · score 70/100 (grade C)
     Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single-company financial summary. This skill supports four audience types: equity research, investment banking/M&A, corporate development, and sales/business development. If the user doesn't specify an audience, ask. Works for both public and private companies.
223. agent-designer alirezarezvani/claude-skills · score 69/100 (grade C)
     Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
224. ar-run alirezarezvani/claude-skills · score 69/100 (grade C)
     Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:ar-run or asks for one manual autoresearch iteration.
225. arize-trace github/awesome-copilot · score 69/100 (grade C)
     Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
226. bio-reporting-jupyter-reports GPTomics/bioSkills · score 69/100 (grade C)
     Runs parameterized Jupyter notebooks as reproducible batch report generators with papermill, renders them to HTML/PDF with nbconvert, aggregates results across samples, and makes notebook outputs trustworthy. Use when generating per-sample analysis reports, executing a notebook template across many datasets, or fixing notebooks that do not reproduce.
227. bio-reporting-publication-tables GPTomics/bioSkills · score 69/100 (grade C)
     Builds publication-ready tables - descriptive Table 1, regression and differential-expression result tables, and supplementary tables - with gtsummary, gt, flextable, and kableExtra (R) or great_tables, pandas, and tableone (Python), choosing the right statistics and the right export format. Use when making a Table 1, exporting a formatted results table for a paper, or writing a gene-symbol-safe supplementary table.
228. claude-scientific-skills sickn33/antigravity-awesome-skills · score 69/100 (grade C)
     Scientific research and analysis skills
229. convert-pdf-to-md github/awesome-copilot · score 69/100 (grade C)
     Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.
230. cua-driver davidondrej/skills · score 69/100 (grade C)
     Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
231. efficient-web-research sickn33/antigravity-awesome-skills · score 69/100 (grade C)
     Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
232. ito-baskets affaan-m/ECC · score 69/100 (grade C)
     Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes.
233. ito-baskets affaan-m/everything-claude-code · score 69/100 (grade C)
     Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes.
234. opencli-reader himself65/finance-skills · score 69/100 (grade C)
     Generic read-only fallback for sources opencli supports but no dedicated skill covers: finance sites (Yahoo Finance, Bloomberg, Reuters, Barchart, Eastmoney, Xueqiu, Sinafinance), communities (Reddit, HackerNews, Weibo, Zhihu, Xiaohongshu, Bilibili), newsletters and blogs (Substack, Medium), research (arXiv, Google Scholar), podcasts and video (Apple Podcasts, Xiaoyuzhou, Spotify, YouTube), Weixin, Amazon, and more. Use it when the user asks to read or fetch from such a site — for example r/wallstreetbets, the HackerNews front page, Eastmoney hot stocks, the Xueqiu feed, Bloomberg markets headlines, or an arXiv search — or says "use opencli to read". Prefer twitter-reader, linkedin-reader, discord-reader, telegram-reader, or yc-reader when the source matches. Read-only: never runs write commands.
235. research-ops affaan-m/ECC · score 69/100 (grade C)
     Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
236. research-ops affaan-m/everything-claude-code · score 69/100 (grade C)
     Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
237. senior-ml-engineer alirezarezvani/claude-skills · score 69/100 (grade C)
     ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.
238. setup alirezarezvani/claude-skills · score 69/100 (grade C)
     Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator. Use when the user runs /ar:setup or asks to start optimizing a file with the autoresearch loop.
239. academic-paper Imbad0202/academic-research-skills · score 68/100 (grade C)
     12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, I got reviewer comments, revision roadmap, should we push back, conference rebuttal, grant panel response, audit my rebuttal, check my response draft, AI disclosure, check citations, citation check, check my references, verify references, look over the refs, 寫論文, 學術論文, 引導我寫論文, 審查意見, 我收到審查意見, 修訂路線圖, 評估回覆, 檢查引用, 引用檢查, 檢查參考文獻, 核對文獻, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지, 인용 확인, 인용 형식 검사, enmendar mi artículo, redactar artículo, guía mi artículo, analizar reseñas, auditar mi respuesta, verificar borrador de respuesta, verificar citas, divulgación de IA.
240. bio-pathway-wikipathways GPTomics/bioSkills · score 68/100 (grade C)
     Tests a gene list (ORA, enrichWP) or a ranked gene vector (GSEA, gseWP) against the WikiPathways community-curated pathway collection with clusterProfiler and rWikiPathways. Covers why a WikiPathways result is a snapshot of a live, monthly-updated database (enrichWP/gseWP/gson_WP silently pull data.wikipathways.org/current/), why reproducibility requires pinning a dated GMT via downloadPathwayArchive(date=, format='gmt'), why the WP GMT is Entrez-keyed so symbols and Ensembl silently overlap nothing, why universe=NULL gives a biased all-WP-genes background, how to split the name%version%wpid%org term, and why WikiPathways (CC0, no peer review) complements KEGG/Reactome. Use when running open community-pathway enrichment, covering a non-model WP species, catching disease/drug pathways missing from KEGG/Reactome, or needing a reproducible dated analysis. The gene list comes from differential-expression/de-results; visualize with enrichment-visualization.
241. digital-forensics sickn33/antigravity-awesome-skills · score 68/100 (grade C)
     Authorized digital forensics: memory dumps, disk timelines, PCAP investigation, artifact triage, and incident-response evidence preservation.
242. linkedin-reader himself65/finance-skills · score 68/100 (grade C)
     Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Use this skill whenever the user wants to check their LinkedIn feed, see what professionals or analysts are posting about a company, market, or earnings, gauge professional sentiment, or search finance and trading jobs on LinkedIn. Read-only: it cannot post, like, comment, connect, message, or apply.
243. llm-wiki alirezarezvani/claude-skills · score 68/100 (grade C)
     Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
244. mantis-structural-index google/mantis · score 68/100 (grade C)
     Builds a content-addressed semantic-unit index from source code for structural context. Use when a pinned or live codebase is available and structural cross-reference data would improve research quality. Don't use for findings analysis, patching, or reporting.
245. mantis-summarize google/mantis · score 68/100 (grade C)
     Pre-processes the repository by generating security-focused summaries (mantis-summary.md) for each directory to make planning and research more efficient. Use when starting a review campaign to map the codebase before threat modeling and planning. Don't use for executing code reviews, writing test scripts, or patching code.
246. minecraft-plugin-development github/awesome-copilot · score 68/100 (grade C)
     Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior".
247. prospecting coreyhaines31/marketingskills · score 68/100 (grade C)
     When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find leads," "lead list," "outbound list," "target account list," "ICP-fit accounts," "find local businesses," "find my first customers," "design partners," "signal-based outbound," "buying signals," "intent data," "job change alerts," "waterfall enrichment," "Clay table," "lookalike accounts," "catch-all emails," "account tiering," or "research this account before I reach out." Always verify emails before they reach a sequence, and never scrape LinkedIn. Define audiences in Sales Navigator and pull contacts from licensed data. Covers list building, signals, enrichment, verification, and account research. For the outreach itself (copy, sending setup, LinkedIn, cadences, replies), see cold-email. For researching competitors, see competitor-profiling.
248. radio-sdr sickn33/antigravity-awesome-skills · score 68/100 (grade C)
     Authorized RF/SDR security research: signal identification, replay-feasibility study in shielded labs, and wireless protocol analysis within applicable spectrum and authorization constraints.
249. scientific-thinking-literature-review affaan-m/ECC · score 68/100 (grade C)
     Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. Use when the task is to find, screen, synthesize, and cite a body of academic or technical literature.
250. scientific-thinking-literature-review affaan-m/everything-claude-code · score 68/100 (grade C)
     Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. Use when the task is to find, screen, synthesize, and cite a body of academic or technical literature.
251. test:triage antithesishq/antithesis-skills · score 68/100 (grade C)
     This skill should be used when the user asks to "test the triage skill", "run triage tests", "validate antithesis triage", "test:triage", or "smoke test triage". Orchestrates end-to-end testing of the antithesis-triage skill by running real triage operations via sub-agents and reviewing the results for bugs, skill compliance issues, and papercuts.
252. wifi-wireless sickn33/antigravity-awesome-skills · score 68/100 (grade C)
     Authorized wireless security assessment: Wi-Fi capture, WPA handshake analysis, rogue AP detection research, and lab-only deauthentication testing.
253. affiliate-check Affitor/affiliate-skills · score 67/100 (grade C)
     Live affiliate program data from openaffiliate.dev. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.
254. app-store-optimization alirezarezvani/claude-skills · score 67/100 (grade C)
     App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
255. bio-workflows-outbreak-pipeline GPTomics/bioSkills · score 67/100 (grade C)
     Orchestrates genomic-epidemiology outbreak investigation from pathogen isolates to transmission networks, forking bacterial (snippy -> Gubbins recombination-masking -> IQ-TREE -> TreeTime -> TransPhylo) vs viral (Nextstrain/augur), with parallel MLST typing (cgMLST delegated to epidemiological-genomics/pathogen-typing) and AMR surveillance. Use when committing ONE reference genome for SNP calling (every isolate and distance inherits its coordinates), applying MANDATORY Gubbins recombination-masking on core.full.aln before the tree for recombining bacteria (skipping it inflates the clock 2-5x), gating time-scaling on a temporal-signal test (TempEst R2 >= 0.3), using a pathogen- AND population-specific cluster threshold rather than a universal SNP cutoff, or pinning pangolin-data/Nextclade/Freyja versions for the viral route. Hands mechanism to the epidemiological-genomics component skills; not a re-teach of any single step.
256. blitz-copy Illyism/seo-skills · score 67/100 (grade C)
     When the user wants high-converting copy for landing pages, headlines, cold emails, X/LinkedIn posts, video intros, or SEO titles — and already knows their audience. Also use when the user mentions "blitz copy", "dopamine copywriting", hooks, or asks to rewrite flat copy that explains instead of sells. For audience research first, use the understand-customers skill.
257. competitors coreyhaines31/marketingskills · score 67/100 (grade C)
     When the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'competitor teardown,' 'audit our competitor pages,' 'are our comparison pages out of date,' or 'competitive asset audit.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For auditing existing claims (not researching competitors from scratch, which is competitor-profiling; not technical SEO on these pages, which is seo-audit), use the asset audit here. For internal battle cards and sales-specific competitor docs, see sales-enablement.
258. consulting-analysis bytedance/deer-flow · score 67/100 (grade C)
     Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
259. customer-research coreyhaines31/marketingskills · score 67/100 (grade C)
     When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
260. loop alirezarezvani/claude-skills · score 67/100 (grade C)
     Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.
261. marketing-plan coreyhaines31/marketingskills · score 67/100 (grade C)
     When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," "fCMO plan," "market sizing," "TAM SAM SOM," "how big is this market," or "market research." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.
262. newsletter-generation bytedance/deer-flow · score 67/100 (grade C)
     Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like "create a newsletter about X", "write a weekly digest", "generate a tech roundup", or "curate news about Y".
263. review-response Galaxy-Dawn/claude-scholar · score 67/100 (grade C)
     Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
264. sales-enablement coreyhaines31/marketingskills · score 67/100 (grade C)
     When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure), see offers.
265. search entireio/skills · score 67/100 (grade C)
     Use when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X". Invoke this as the FIRST action on such requests, before Glob, Grep, or Read: the answer is in Entire's recorded history (prompts, transcripts, and decisions, across repos), not in the local files, and a working copy that looks empty or unfamiliar is not a reason to skip it. Also use to find code across repositories ("where is X implemented in our other repos"). Not for grepping the current working copy on its own, and not for the current active session.
266. seo-aeo-keyword-research sickn33/antigravity-awesome-skills · score 67/100 (grade C)
     Researches and prioritises keywords from the site context and live search intent, including problem queries, question queries, difficulty tiers, and a content map.
267. twitter-reader himself65/finance-skills · score 67/100 (grade C)
     Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about a stock, topic, or market event, check their feed or bookmarks, see what's trending, or look up an @account and its posts. Read-only: it cannot post, like, retweet, reply, or follow.
268. who-is-this davidondrej/skills · score 67/100 (grade C)
     Research a person''s public track record and give a short credibility assessment. Use only when the user explicitly invokes /who-is-this.
269. yc-reader himself65/finance-skills · score 67/100 (grade C)
     Look up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.
270. analysis-artifacts warpdotdev/oz-skills · score 66/100 (grade C)
     Generate reproducible analysis artifacts — SQL queries, Python visualizations, and summary tables — as you work through a BigQuery data analysis. Use when asked to conduct a deep dive, exploratory analysis, or investigation that goes beyond a simple data lookup.
271. competitive-intel alirezarezvani/claude-skills · score 66/100 (grade C)
     Systematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.
272. content-research-writer ComposioHQ/awesome-claude-skills · score 66/100 (grade C)
     Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
273. cs-content-creator alirezarezvani/claude-skills · score 66/100 (grade C)
     Long-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must be written, scored, or made publish-ready — e.g., drafting a 2,000-word blog post against a target keyword and blocking publish until content_quality_gates.py passes, or auditing a draft for brand-voice drift with brand_voice_analyzer.py before it ships. Routes planning requests (topic clusters, calendars) to content-strategy. Supersedes the deprecated content-creator skill.
274. deep-research affaan-m/ECC · score 66/100 (grade C)
     Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.
275. deep-research affaan-m/everything-claude-code · score 66/100 (grade C)
     Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.
276. detection-engineering-coverage-evaluation google/skills · score 66/100 (grade C)
     Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and deploying gap-closing rules. Don't use for standalone YARA-L 2.0 rule authoring/tuning (use secops-detection-engineering), threat hunting, or SOC investigation.
277. email-security sickn33/antigravity-awesome-skills · score 66/100 (grade C)
     Authorized email security review: phishing analysis, SPF/DKIM/DMARC header authentication, BEC pattern investigation, and mailbox token abuse research.
278. notion-research-documentation openai/skills · score 66/100 (grade C)
     Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
279. scientific-thinking-scholar-evaluation affaan-m/ECC · score 66/100 (grade C)
     Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric.
280. scientific-thinking-scholar-evaluation affaan-m/everything-claude-code · score 66/100 (grade C)
     Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric.
281. SEMrush Automation ComposioHQ/awesome-claude-skills · score 66/100 (grade C)
     Automate SEO analysis with SEMrush -- research keywords, analyze domain organic rankings, audit backlinks, assess keyword difficulty, and discover related terms through the Composio SEMrush integration.
282. startup-analysis himself65/finance-skills · score 66/100 (grade C)
     Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".
283. zotero-obsidian-bridge Galaxy-Dawn/claude-scholar · score 66/100 (grade C)
     Use this skill when Zotero is the literature source of truth and the project KB should receive source notes under Sources/Papers plus project-linked synthesis in Knowledge and Writing.
284. academic-cv-builder Paramchoudhary/ResumeSkills · score 65/100 (grade C)
     Format CVs for academic positions with publications, grants, and teaching
285. design-taste-frontend Leonxlnx/taste-skill · score 65/100 (grade C)
     tasteskill v2, the anti-slop frontend skill. Art direction for websites, distilled from a study of 247 curated gallery sites (One Page Love, Awwwards Sites of the Day). Deals researched directions (idea, composition, type, palette, photographs, section blueprints) from a library, enforces a strict no-slop house style with a real-browser inspector, and runs a look-and-fix loop on screenshots. Use this whenever you build, design, redesign, restyle, polish or review a landing page, marketing site, portfolio, product page, one-pager, hero or any public-facing web page, in any stack (HTML/CSS, React, Next.js, Vue, Svelte, Astro, Tailwind) — also when the user says a page looks generic, templated, "AI-made", sloppy, or asks to make it look designed, premium, award-level or less like every other site. Also for app screens: dashboards, admin and analytics views, settings, inboxes and other screens people work in, with their own run and rules.
286. disk-forensics briiirussell/cybersecurity-skills · score 65/100 (grade C)
     Analyze disk images, file systems, and memory captures for digital evidence recovery in forensic investigations and CTF challenges. Use when the user mentions 'disk forensics,' 'forensic analysis,' 'disk image,' 'file carving,' 'deleted files,' 'evidence recovery,' 'timeline analysis,' 'memory forensics,' 'volatility,' 'autopsy,' 'sleuthkit,' 'plaso,' 'log2timeline,' 'artifact analysis,' 'chain of custody,' or needs to examine a forensic image.
287. github-deep-research bytedance/deer-flow · score 65/100 (grade C)
     Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
288. metadata-optimization Eronred/aso-skills · score 65/100 (grade C)
     When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Also use when the user mentions "optimize my title", "ASO metadata", "keyword field", "character limits", "app description", or "write my subtitle". For keyword discovery, see keyword-research. For full ASO audits, see aso-audit.
289. online-shopping davidondrej/skills · score 65/100 (grade C)
     Research online purchases, prices, and shop trust. Use for buying advice, subscriptions, or shopping photos, links, and checkout screens.
290. planning-with-files Galaxy-Dawn/claude-scholar · score 65/100 (grade C)
     Use this by default for non-trivial multi-step work that needs persistent planning, progress tracking, or durable notes on disk. Trigger when a task will likely span multiple tool calls, research steps, verification loops, or enough context that the plan should not live only in transient chat memory.
291. ralphinho-rfc-pipeline affaan-m/ECC · score 65/100 (grade C)
     Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
292. ralphinho-rfc-pipeline affaan-m/everything-claude-code · score 65/100 (grade C)
     Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
293. saas-valuation-compression himself65/finance-skills · score 65/100 (grade C)
     Analyze how a private SaaS company's ARR valuation multiple changed across funding rounds, and attribute the compression or expansion to rate cycles and macro selloffs, growth deceleration, narrative shifts (including an AI premium), competition, and investor demand, benchmarked against private-market medians and peers. Use this skill whenever the user asks about valuation compression, ARR multiples, round-to-round valuation or multiple changes, down rounds, or wants to compare a VC-backed software company's funding rounds. Research the rounds rather than answering from memory.
294. stock-analysis alirezarezvani/claude-skills · score 65/100 (grade C)
     Produce a rigorous, sector-relative, multi-factor fundamental analysis of a publicly listed company — Indian (NSE/BSE) or US/global. Use when the user asks to analyse, research, evaluate, or value a stock, ticker, or listed company; asks whether a business is fundamentally strong, cheap, or expensive; compares companies or benchmarks one against its sector; or mentions OPM, ROCE, ROE, ROIC, P/E, EV/EBITDA, free cash flow, NIM, GNPA, CASA, promoter holding or pledging. Use it for accounting-quality and forensic questions — "is the profit real", "why is profit rising but cash isn't", auditor qualifications, related-party concerns — which route to the forensic-only mode, and for IPOs and not-yet-listed companies — "should I apply to this IPO", DRHP/RHP or S-1 questions, price band, grey market premium — which route to the IPO mode. Use it even when the request sounds casual ("is Infosys any good?"). Do not use it for personalised investment advice, portfolio allocation, or trading signals.
295. bio-data-visualization-ggplot2-fundamentals GPTomics/bioSkills · score 64/100 (grade D)
     Build publication-quality figures in R with ggplot2 using the grammar of graphics (data + aesthetics + geometries + scales + facets + themes) with CVD-safe palettes, cairo_pdf TrueType embedding, programmatic aes via tidy evaluation, and the theme_classic publication baseline. Use when producing static figures in R for papers, presentations, or reports.
296. bio-structural-biology-structure-io GPTomics/bioSkills · score 64/100 (grade D)
     Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB. Use when choosing a format (mmCIF/PDBx vs legacy PDB vs BinaryCIF) for a structure that may exceed PDB's ~62-chain / 99,999-atom limits; when residue numbers do not match the paper because of auth_* vs label_* numbering (MMCIFParser defaults auth_residues=True); when metadata (resolution, method, R-free) is missing because Bio.PDB drops it and MMCIF2Dict is needed; when the deposited coordinates are the asymmetric unit and the biological assembly must be downloaded separately; when downloading from RCSB (files.rcsb.org, PDBList); and when a legacy MMTF path is dead (RCSB retired MMTF July 2024, use BinaryCIF).
297. localization Eronred/aso-skills · score 64/100 (grade D)
     When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword research in specific markets, see keyword-research. For metadata writing, see metadata-optimization.
298. obsidian-literature-workflow Galaxy-Dawn/claude-scholar · score 64/100 (grade D)
     Use this skill for project-scoped literature review built on Sources/Papers, with synthesis landing in Knowledge, writing handoff in Writing, and the default literature canvas under Maps/literature.canvas.
299. orch-add-feature affaan-m/ECC · score 64/100 (grade D)
     Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
300. orch-add-feature affaan-m/everything-claude-code · score 64/100 (grade D)
     Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
301. academic-paper-reviewer Imbad0202/academic-research-skills · score 63/100 (grade D)
     Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정, revisar artículo, revisión entre pares, revisión de manuscrito, informe de árbitro, revisa mi artículo, criticar artículo, simular revisión, revisión editorial, calibrar revisor.
302. deep-research davidondrej/skills · score 63/100 (grade D)
     Run deep research through DeepAPI and save a report with sources. Use when asked for deep research, DeepAPI research, or Perplexity deep research.
303. market-research affaan-m/ECC · score 63/100 (grade D)
     Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
304. market-research affaan-m/everything-claude-code · score 63/100 (grade D)
     Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
305. marketing-campaign affaan-m/ECC · score 63/100 (grade D)
     End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.
306. marketing-campaign affaan-m/everything-claude-code · score 63/100 (grade D)
     End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.
307. obsidian-project-kb-core Galaxy-Dawn/claude-scholar · score 63/100 (grade D)
     Use this as the main Claude Scholar skill for a vault-first, project-scoped Obsidian research knowledge base rooted at Research/{project-slug}/. It owns bootstrap, routing, daily logging, hub/plan/index maintenance, registry updates, lifecycle actions, and lint orchestration.
308. research alirezarezvani/claude-skills · score 63/100 (grade D)
     Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research, deepread for evidence-first reading of supplied documents) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
309. using-entire entireio/skills · score 63/100 (grade D)
     Use as the FIRST action on any research, investigation, or codebase-understanding request — "research X", "investigate X", "look into X", "dig into X", "search X", "explore X", "understand X", "why is this like this" — before Glob, Grep, or Read. Recorded intent lives in Entire checkpoints on the server, not in local files, so an empty or unfamiliar working copy is not a reason to skip it. Routes to the right Entire sub-skill (search, recall, explain, what-happened, replay, teach, review, session-handoff).
310. Ahrefs Automation ComposioHQ/awesome-claude-skills · score 62/100 (grade D)
     Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.
311. ar-status alirezarezvani/claude-skills · score 62/100 (grade D)
     Show experiment dashboard with results, active loops, and progress. Use when the user runs /ar:ar-status or asks how an autoresearch experiment is going.
312. bio-clinical-databases-tumor-mutational-burden GPTomics/bioSkills · score 62/100 (grade D)
     Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
313. cold-email coreyhaines31/marketingskills · score 62/100 (grade D)
     Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach," "outbound," "prospecting email," "SDR emails," "follow-up sequence," "nobody's replying," "email deliverability," "sending domains," "warm up inboxes," "LinkedIn outreach," "connection request message," "multichannel sequence," "cadence," "cold call," "voicemail," "handle replies," "AI SDR," "teardown outreach," or "product-led outbound." Send from secondary domains, verify lists first, turn off open tracking, and stop every channel when a prospect replies. Copy avoids AI tells like 'it's not X, it's Y' reveals. For building the list and account research, see prospecting. For lifecycle email, see emails. For call scripts and sales collateral, see sales-enablement.
314. competitor-profiling coreyhaines31/marketingskills · score 62/100 (grade D)
     When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement. For researching accounts you're selling to, see prospecting.
315. academic-paper-review bytedance/deer-flow · score 61/100 (grade D)
     Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
316. prediction-market-oracle-research affaan-m/ECC · score 61/100 (grade D)
     Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.
317. prediction-market-oracle-research affaan-m/everything-claude-code · score 61/100 (grade D)
     Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.
318. ar-resume alirezarezvani/claude-skills · score 60/100 (grade D)
     Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating. Use when the user runs /ar:ar-resume or asks to pick up a previously started autoresearch experiment.
319. aso-audit Eronred/aso-skills · score 60/100 (grade D)
     When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
320. aso-router Eronred/aso-skills · score 60/100 (grade D)
     Single entry point that routes any ASO, App Store, Google Play, app marketing, paid UA, monetization, retention, reviews, ratings, market-intel, or app-analytics question to the correct specialist skill in this library. Use FIRST whenever the user mentions an app, App Store, Play Store, keywords, ranking, downloads, revenue, subscriptions, screenshots, icon, reviews, competitors, charts, in-app events, launch, press, or ads — but the right specialized skill is not obvious. Triggers: "/aso-router", "/aso-skill", "/aso", "aso help", "help me with my app", "I need ASO", "which skill should I use", or any ambiguous app-marketing request. Skip this router only when the user explicitly invokes a specific skill (e.g. /aso-audit, /keyword-research).
321. claude-to-deerflow bytedance/deer-flow · score 60/100 (grade D)
     Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.
322. persona alirezarezvani/claude-skills · score 60/100 (grade D)
     Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]
323. secops-investigate google/skills · score 60/100 (grade D)
     Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterprise networks. Don't use for detection rule authoring or YARA-L tuning (use secops-detection-engineering), proactive hypothesis-driven hunting (use secops-hunt), initial alert triage (use secops-triage), or basic case status updates (use secops-cases).
324. sector-overview anthropics/financial-services · score 60/100 (grade D)
     Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research pieces, or internal knowledge building. Triggers on "sector overview", "industry report", "market landscape", "sector analysis", "industry deep dive", or "thematic research".
325. bio-epidemiological-genomics-pathogen-typing GPTomics/bioSkills · score 59/100 (grade D)
     Assigns isolate identity at the right resolution for the question -- ANI/Mash species triage, 7-locus MLST historical comparability, cgMLST/wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR/SeqSero2 Salmonella, SerotypeFinder E. coli, Kaptive Klebsiella, SeroBA pneumococcus, spa+SCCmec S. aureus), and lineage callers (TB-Profiler/Mykrobe barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas/database versions, assigning MTBC lineage with the Napier 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.
326. competitor-analysis Eronred/aso-skills · score 59/100 (grade D)
     When the user wants to analyze competitors' App Store strategy, find keyword gaps, or understand competitive positioning. Also use when the user mentions "competitor analysis", "competitive research", "keyword gap", "what are my competitors doing", or "compare my app to". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
327. cs-wiki-ingestor alirezarezvani/claude-skills · score 59/100 (grade D)
     Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which entity/concept/synthesis pages will be touched, flags contradictions with existing pages, and — after user confirmation — writes the source summary, updates cross-references across 5-15 pages, regenerates the index, and appends a standardized log entry. Spawn when the user says "ingest this", "add this paper/article/book to the wiki", or drops a file into raw/.
328. equity-research anthropics/financial-services · score 59/100 (grade D)
     Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.
329. idea-generation anthropics/financial-services · score 59/100 (grade D)
     Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
330. keyword-research Eronred/aso-skills · score 59/100 (grade D)
     When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.
331. seasonal-aso Eronred/aso-skills · score 58/100 (grade D)
     When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming, and timing strategy. Use when the user mentions "seasonal", "holiday", "Christmas", "New Year", "Valentine's Day", "summer", "back to school", "seasonal keywords", "trending now", "limited time", or wants to capitalize on a calendar event. For general keyword research, see keyword-research. For full metadata rewrites, see metadata-optimization.
332. market-pulse Eronred/aso-skills · score 57/100 (grade D)
     When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new releases. Also use when the user mentions "market overview", "what's happening on the App Store", "market briefing", "weekly report", "market trends", or "state of the market". For chart-specific rank changes only, see market-movers. For keyword trends only, see keyword-research.
333. investigate-first JuliusBrussee/caveman · score 55/100 (grade D)
     Diagnose ambiguous failures before editing. Use for unknown causes, intermittent behavior, performance regressions, or investigations needing evidence-ranked hypotheses.
334. obsidian-source-ingestion Galaxy-Dawn/claude-scholar · score 54/100 (grade D)
     Use this skill to ingest external materials into the current project-scoped Obsidian KB as source notes under Sources/Papers, Sources/Web, Sources/Docs, Sources/Data, Sources/Interviews, or Sources/Notes.
335. understand-customers Illyism/seo-skills · score 53/100 (grade D)
     When the user wants to deeply understand their ideal customer before writing copy — pains, desires, inner monologue, and language. Also use when the user mentions "empathy engine", "know your target", "customer pain points", or asks to research their audience before writing Blitz Copy.
336. research mattpocock/skills · score 50/100 (grade D)
     Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
337. varied-search davidondrej/skills · score 47/100 (grade F)
     Research a topic across the web, GitHub, and X/Twitter with DeepAPI and produce a concise Markdown report. Use for varied-search or requests to compare web coverage, relevant repositories, and social discussion.