Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,456 skills from 2,407 repositories · updated 31 minutes ago
49,454 skills
- audience-researchScrapeCreators/social-media-research-skillsUse when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.ScienceNo warnings★ 5.7K↓ —
- make-static-ads-concept-gridgooseworks-ai/goose-skillsStep of make-static-ads: turns the chosen angles into messages, visual ideas and a template per ad, checks each against the brand profile and recent ads, writes the concept board and has a fresh critic attack it before any copy, prompt or spend. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- comment-miningScrapeCreators/social-media-research-skillsUse when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.OtherNo warnings★ 5.7K↓ —
- scrapecreators-apiScrapeCreators/social-media-research-skillsScrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio, Linkme, Amazon Shop). Use when the user asks to scrape, fetch, extract, search, or look up social media profiles, posts, videos, reels, comments, transcripts, followers, ads, hashtags, trending content, or engagement metrics from any social platform. Also use when user mentions ScrapeCreators, social media API, ad library, or creator data.BrowserNo warnings★ 5.7K↓ —
- ad-library-teardownScrapeCreators/social-media-research-skillsUse when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.MarketingNo warnings★ 5.7K↓ —
- outlier-post-finderScrapeCreators/social-media-research-skillsUse when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.OtherNo warnings★ 5.7K↓ —
- influencer-prospectingScrapeCreators/social-media-research-skillsUse when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.ScienceNo warnings★ 5.7K↓ —
- social-listening-briefScrapeCreators/social-media-research-skillsUse when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.OtherNo warnings★ 5.7K↓ —
- content-repurposingScrapeCreators/social-media-research-skillsUse when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.ScienceNo warnings★ 5.7K↓ —
- product-demand-researchScrapeCreators/social-media-research-skillsUse when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.ScienceNo warnings★ 5.7K↓ —
- competitor-social-researchScrapeCreators/social-media-research-skillsUse when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.ScienceNo warnings★ 5.7K↓ —
- red-teamalirezarezvani/claude-skillsUse when planning or running an authorized red team engagement or attack path analysis. Plans the kill chain with engagement_planner.py: MITRE ATT&CK techniques, choke points, OPSEC risk and crown jewels.PlanningNo warnings★ 29.3K↓ —
- write-outreach-outreach-qagooseworks-ai/goose-skillsStep of the write-outreach playbook: the checks a finished outreach pack and send file must pass before delivery, covering facts, proof, compliance, length, asks and tone. Run write-outreach instead; not for direct use.TestingNo warnings★ 1.3K↓ —
- signup-login-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Authentication Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Authentication Page.OtherNo warnings★ 1.1K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ScienceNo warnings★ 1.1K↓ —
- autoreviewopenclaw/crabboxStructured code review through the shared OpenClaw agent-skills installation.EngineeringNo warnings★ 1.5K↓ —
- 01-paper-reviewagentscope-ai/OpenJudgeReview academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.ScienceNo warnings★ 1.1K↓ —
- agentdock-user-guideuvwt/agentdock当用户询问 AgentDock 是什么、如何使用、配置在哪里、不同平台或安装方式怎样修改配置并生效、如何重启或验证配置、如何发现并配置 Codex/Claude/Grok 等 Coding Agent 的 ACP，以及常见运行问题时使用；覆盖 macOS Desktop、Windows Desktop、Linux 服务、Docker 和直接运行二进制，不用于源码开发与贡献流程。DevOpsNo warnings★ 1.3K↓ —
- skill-installationuvwt/agentdock审查、安装、配置、验证、更新和移除 AgentDock Skill 时使用；负责来源校验、安全评估、环境配置、content digest、精确 skill_ref 与当前 managed 内容验收。OtherNo warnings★ 1.3K↓ —
- oma-recapfirst-fluke/oh-my-agentSummarize AI conversation histories for a specified date or period. Use for daily work recaps and cross-tool activity summaries.PlanningNo warnings★ 1.4K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivityNo warnings★ 1K↓ —
- sno-mem-claudesno-ai/sno-stationUse Sno memory from Claude through four explicit commands.ProductivityNo warnings★ 1K↓ —
- lancet-fitbrycewang-stanford/Awesome-Journal-SkillsUse when scoping a project and before any writing, to stress-test whether a study clears The Lancet's bar — clinically or public-health important, globally relevant, and likely to change practice or policy, often with an equity lens. Decides The Lancet vs a Lancet family title vs another general medical journal.TestingNo warnings★ 1.4K↓ —
- cell-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Cell reviews arrive to triage the decision, prioritize the (often substantial) new experiments by impact × feasibility, and draft a point-by-point response that is respectful, evidence-led, and closes the "completeness" gaps reviewers demand. Do not run before the experiments and revision are actually done.OtherNo warnings★ 1.4K↓ —
wacv-experiments
brycewang-stanford/Awesome-Journal-Skills
DevOpsUpdated Sep 27, 2026
From the author
Use when designing or auditing WACV experiments, covering Applications-track systems evidence (latency, power, robustness under real constraints) versus Algorithms-track matched-baseline novelty, comparative assessment under the deployed condition, uncertainty over seeds and sessions, ablations, and evidence that survives the two-round review.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wacv-experiments -a claude-code
Installs to .claude/skills/wacv-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
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Why 88
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Files (1)
- SKILL.md