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.
48,622 skills from 2,355 repositories · updated 13 hours ago
47,548 skills
- finetuningevo-hq/evoThis skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns. Provider recipes and I/O contract in references/.DesignNo warnings★ 1.5K↓ —
- brooks-reviewhyhmrright/brooks-lintPR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books. Triggers when: user asks to review code, check a PR, shares a diff or pastes code asking "does this look right?" / "any issues here?" / "ready to merge?", or asks for feedback on a function, class, or file. Also triggers when user mentions: code smells / refactoring / clean architecture / DDD / SOLID principles / Hyrum's Law / deep modules / tactical programming / conceptual integrity / Brooks's Law / Mythical Man-Month / second system effect. Do NOT trigger for: questions about how to write code from scratch, language syntax questions, or framework/tool questions where no existing code is shared.EngineeringNo warnings★ 1.6K↓ —
- api-design-revieweralirezarezvani/claude-skillsUse for any PR or spec that adds or changes REST endpoints, before approving it. Lints conventions with api_linter.py, detects breaking changes with breaking_change_detector.py and scores the design with api_scorecard.py.DesignNo warnings★ 29.1K↓ —
- brooks-harnesshyhmrright/brooks-lintMaintenance orchestrator for the brooks-lint plugin itself. Runs a sequential subagent pipeline — author → eval → QA → trigger-audit → release — to add or edit a skill, refresh the eval suite, keep the four manifests + all README translations + CHANGELOG + AGENTS/GEMINI in sync, audit trigger boundaries, and cut releases. Drives the five agents in .claude/agents/ (skill-author, eval-curator, consistency-qa, trigger-boundary-auditor, release-manager). Triggers when the maintainer asks to work ON brooks-lint itself: "add a new skill", "edit the brooks-debt guide", "update the eval suite", "fix the trigger descriptions", "make this change and validate it", "release brooks-lint", "bump and publish", and follow-ups: "re-run", "re-validate", "update that skill", "redo the audit", "do the X part again". Do NOT trigger for: USING the brooks-lint analysis skills on some target codebase (that's brooks-review / brooks-audit / brooks-debt / brooks-test / brooks-health / brooks-sweep); generic questions about brooks-lint TestingNo warnings★ 1.6K↓ —
- changelog-generatoralirezarezvani/claude-skillsUse when cutting a release, writing CHANGELOG.md or deciding the next version from commits, before writing notes by hand. Lints commits with commit_linter.py, picks the semver bump with version_bumper.py and renders notes with generate_changelog.py.MediaNo warnings★ 29.1K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ScienceNo warnings★ 1.3K↓ —
- codebase-onboardingalirezarezvani/claude-skillsUse when someone is new to a repo or a tech lead needs an architecture brief, before writing docs by hand. Maps the codebase with codebase_analyzer.py and produces onboarding docs.WritingNo warnings★ 29.1K↓ —
- mood-boosteralibaba/skill-upTriggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax. Responds with warm words of comfort and tells a joke to lighten the atmosphere. Trigger phrases include "I'm so bored", "feeling down", "so frustrated", "gloomy", "not happy", "I'm tired".OtherNo warnings★ 1.4K↓ —
- rag-design-docmohitagw15856/pm-claude-skillsDesign a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.DesignNo warnings★ 1.5K↓ —
- scrum-masteralirezarezvani/claude-skillsUse for sprint and team analytics: velocity forecasts, sprint health, retrospectives, burndown or blockers. Forecasts with velocity_analyzer.py (Monte Carlo), scores with sprint_health_scorer.py and tracks retro actions with retrospective_analyzer.py.DataNo warnings★ 29.1K↓ —
- agentlas-stormagentlas-ai/Agentlas-OSUse when the user types /agentlas-storm, /agentlas storm, /hep-storm, or says @Hephaestus storm <goal> to drive a goal through the force-robust Stormbreaker loop with real Agentlas specialists.PlanningNo warnings★ 1.6K↓ —Also in 1 other repo
- senior-frontendalirezarezvani/claude-skillsUse for React, Next.js, TypeScript or Tailwind work: components, performance, bundle size, scaffolding or frontend review. Decides with frontend_decision_engine.py, scaffolds with frontend_scaffolder.py and component_generator.py, and analyzes bundles with bundle_analyzer.py.DesignNo warnings★ 29.1K↓ —
- setupmicrosoft/power-platform-skillsUse when Process Intelligence needs building, explicit cloud/account/environment configuration, sign-in, connection diagnostics, or recovery from an authentication error.OtherNo warnings★ 1.1K↓ —
- preview-screensmicrosoft/power-platform-skillsUse when the user wants to preview generated screens in a browser without starting Metro / a simulator — for example after /create-mobile-app finishes or after /edit-app regenerates a screen.BrowserNo warnings★ 1.1K↓ —
- list-connectionsmicrosoft/power-platform-skillsLists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.EngineeringNo warnings★ 1.1K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivityNo 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★ 27.8K↓ —
- 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★ 27.8K↓ —Also in 1 other repo
- azure-usagefcakyon/claude-codex-settingsThis skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.DevOpsNo warnings★ 1.2K↓ —
- stock-analysisalirezarezvani/claude-skillsUse when asked to analyze, research or value a listed stock or company (US, global, NSE or BSE). Verifies data with verify_data.py, computes ratios, scores and valuation, and checks the report with lint_report.py.FinanceNo warnings★ 29.1K↓ —
- squadradagoSte/squadraCoordinates work entrusted to several Codex, Claude, Cursor or mixed windows, with tasks, acknowledgements, proofs, a non-author reviewer and a persistent registry. Includes squadra dash to view the activity and squadra selftest to test the protocol. Use when the owner asks for a squad (squadra), a coordinator/builders/reviewer, resuming a squad or its dashboard; it does not impose this scheme on ordinary changes in a single window.TestingNo warnings★ 1.2K↓ —
- 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↓ —
- research-audience-account-sourcinggooseworks-ai/goose-skillsStep of the research-audience playbook: finds candidate accounts matching the fit definition, confirms gates, applies exclusions and dedupes. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- skill-inventoryhoangsonww/Claude-Code-Agent-MonitorInventory the installed skills and which plugins contribute them, then flag overlap with the user's own skills — read through the Agent Monitor Config Explorer API. Reads /api/cc-config/skills and /api/cc-config/plugins. Use when managing skills: deduping, deciding what to keep, or tracing a skill back to the plugin that ships it.EngineeringNo warnings★ 1.1K↓ —
work-with-creators-creator-discovery
gooseworks-ai/goose-skills
OtherUpdated 6 days ago
From the author
Step of the work-with-creators playbook: builds and screens a long list of creators from fans, category creators and search, and ranks finalists to vet next. Run work-with-creators instead; not for direct use.
Install
npx skills add gooseworks-ai/goose-skills --skill work-with-creators-creator-discovery -a claude-code
Installs to .claude/skills/work-with-creators-creator-discovery/ · 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
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption50
Files (2)
- SKILL.md
- skill.meta.json