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.
49,417 skills from 2,407 repositories · updated 25 minutes ago
49,415 skills
- page-croalirezarezvani/claude-skillsFix a page that is not converting: section by section audit with fixes ranked by impact. Use whenever a homepage, landing, pricing or feature page gets few signups, sales or clicks.MarketingNo warnings★ 29.3K↓ —
- transcript-intelligenceScrapeCreators/social-media-research-skillsUse when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.MediaNo warnings★ 5.7K↓ —
- stock-analysisalirezarezvani/claude-skillsAnalyze, research or value a listed stock or company (US, global, NSE or BSE) with verified data, ratios, scores and valuation. Use whenever asked if a stock is a buy, what it is worth, or how a company looks.FinanceNo warnings★ 29.3K↓ —
- first-principles-reviewGanyuanRan/AegisUse when asked for first-principles or Occam's-razor review, or when high-risk decisions involve competing constraints, fallback growth, duplicate owners, or architecture direction risk. Ordinary bug fixes stay on the fast path.EngineeringNo warnings★ 1.4K↓ —
- improve-search-visibility-page-and-foundation-checkgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.BrowserNo warnings★ 1.3K↓ —
- improve-search-visibility-entity-footprintgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use.WritingNo warnings★ 1.3K↓ —
- planning-with-files-deOthmanAdi/planning-with-filesPersistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.PlanningNo warnings★ 27.9K↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ScienceNo warnings★ 1.3K↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- interviewalirezarezvani/claude-skillsUse when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.PlanningNo warnings★ 29.3K↓ —
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestingNo warnings★ 1.3K↓ —
- ad-campaign-analyzergooseworks-ai/goose-skillsAnalyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.MarketingNo warnings★ 1.3K↓ —
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanningNo warnings★ 1.3K↓ —
- postgresql-best-practices-cloudbaseTencentCloudBase/CloudBase-AI-ToolkitCloudBase PostgreSQL access-pattern and slow-query quality guidance. Use when designing how tables are read and written, eliminating per-row database calls, adding indexes for filters or joins, reviewing high-traffic data access, or explaining a slow SQL query. Not for first-time PG SDK setup, login UI, or NoSQL collections.DataNo warnings★ 1.2K↓ —Also in 5 other repos
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- goose-product-photosgooseworks-ai/goose-skillsMake product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.MediaNo warnings★ 1.3K↓ —
- run-paid-campaigns-apply-and-loggooseworks-ai/goose-skillsStep of the run-paid-campaigns playbook: stages the week's approval items, applies only what the marketer approves and keeps the change log. Run run-paid-campaigns instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- capa-officeralirezarezvani/claude-skillsUse for CAPA work in a medical device QMS: root cause analysis (5-Why, fishbone), corrective action plans, effectiveness checks or CAPA metrics. Tracks CAPAs with capa_tracker.py and analyzes causes with root_cause_analyzer.py.ScienceNo warnings★ 29.3K↓ —
- research-audiencegooseworks-ai/goose-skillsAudience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.ScienceNo warnings★ 1.3K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.WritingNo warnings★ 1.3K↓ —
- ai-model-nodejsTencentCloudBase/CloudBase-AI-ToolkitUse this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage). Text via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model ids (e.g. deepseek-v4.1-flash, glm-5.3, kimi-k2.6) go in the `model` field of generateText/streamText. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).BrowserNo warnings★ 1.2K↓ —Also in 5 other repos
colt-experiments
brycewang-stanford/Awesome-Journal-Skills
MediaUpdated Sep 27, 2026
From the author
Use when deciding whether a COLT (Conference on Learning Theory) paper needs numerical content at all — COLT has no experiments requirement — and, when numerics genuinely help, designing small illustrative simulations that visualize a proved bound, a separation, or a phase transition without diluting the theory.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-experiments -a claude-code
Installs to .claude/skills/colt-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
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