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.
49,409 skills from 2,375 repositories · updated 6 hours ago
48,362 skills
- self-evolving-single-agentagentlas-ai/Agentlas-OSUse when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.ScienceNo warnings★ 1.6K↓ —Also in 4 other repos
- skill-lifecycle-promotionagentlas-ai/Agentlas-OSUse when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- agentlas-operationsagentlas-ai/Agentlas-OSAgentlas 시스템 운용 절차 — hep-network 편성, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.OtherNo warnings★ 1.6K↓ —
- agentlas-callagentlas-ai/Agentlas-OSPrepare explicitly named Agentlas Hub or Cloud agents.OtherNo warnings★ 1.6K↓ —
- agentlas-hubagentlas-ai/Agentlas-OSStaff a task only from public Agentlas Hub agents.ProductivityNo warnings★ 1.6K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OfficialMediaNo warnings★ 11.3K↓ —
- hf-cloud-sagemaker-iam-preflighthuggingface/skillsEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.OfficialDevOpsNo warnings★ 11.3K↓ —
- compliance-osalirezarezvani/claude-skillsUse when running several compliance frameworks at once: which apply, where controls overlap, a mock audit or one evidence checklist. Runs framework_selector.py, cross_framework_mapper.py, audit_simulator.py and evidence_pool_generator.py.LegalNo warnings★ 29.2K↓ —
- runbook-generatoralirezarezvani/claude-skillsUse when a service needs runbooks for deploy, incident response, maintenance or rollback, before launch. Generates them per environment with runbook_generator.py.DevOpsNo warnings★ 29.2K↓ —
- ab-test-setupalirezarezvani/claude-skillsUse before planning or launching any A/B, split or multivariate test, or when asked if a result is significant. Sizes the test with sample_size_calculator.py and writes the hypothesis, metric and stop rule first, so it is not called early on noise.TestingNo warnings★ 29.2K↓ —
- mcp-server-builderalirezarezvani/claude-skillsUse when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.WritingNo warnings★ 29.2K↓ —
- senior-fullstackUpdatedalirezarezvani/claude-skillsStart a fullstack project or audit a codebase: pick a stack (Next.js, FastAPI, MERN, Django), scaffold it and score code quality. Use whenever the user asks which stack to use, wants a new web app set up, or asks how good or messy their codebase is.EngineeringNo warnings★ 29.2K↓ —
- setupfcakyon/claude-codex-settingsThis skill should be used when user encounters "ADC not found", "gcloud auth error", "GCloud MCP error", "Application Default Credentials", "project not set", or needs help configuring GCloud integration.OtherNo warnings★ 1.2K↓ —
- k2fcakyon/claude-codex-settingsBuild and troubleshoot Cloudflare K2 or K2 Streams durable logs. Use for stream setup, producing from Workers or HTTP, configuring retention and inputs, and consuming through subscriptions.DevOpsNo warnings★ 1.2K↓ —
- reading-livekit-docsfcakyon/claude-codex-settingsLooks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP server and the `lk docs` CLI.WritingNo warnings★ 1.2K↓ —Also in 1 other repo
- <slug>gooseworks-ai/goose-skills<What it does and when to use it, in one or two sentences. This is what an agent matches on. At most 1,024 characters.>OtherNo warnings★ 1.3K↓ —
- minutes-recordsilverstein/minutesStart or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.MediaNo warnings★ 1.6K↓ —Also in 1 other repo
- ophis-swaphashgraph-online/awesome-codex-pluginsUse when the user wants to swap, trade, buy, sell, or convert tokens onchain, get a best-execution swap quote, compare a swap against DEX aggregators, or read wallet balances, token prices, gas, or fee-rebate tiers. Drives Ophis, an intent-based DEX (a CoW Protocol deployment) that is MEV-protected, gasless for the trader, and keyless. Supports Ethereum, Optimism, Base, Arbitrum, Polygon, BNB, Gnosis, Unichain, Avalanche, Plasma, Ink, and Linea.DevOpsNo warnings★ 1.5K↓ —
- exa-searchhashgraph-online/awesome-codex-pluginsNeural 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.ScienceNo warnings★ 1.5K↓ —
- enable-tables-offlinemicrosoft/power-platform-skillsInternal mobile-app workflow read and executed only by /setup-offline-profile to enable Dataverse table prerequisites for a Mobile Offline Profile.ProductivityNo warnings★ 1.1K↓ —
- react-uihashgraph-online/awesome-codex-pluginsUse when building any val with a user interface — dashboards, web apps, landing pages, forms, admin tools, anything users see in a browser. Covers JSX/React conventions, Twind/Tailwind styling, React version pinning, the view-source link requirement, and what to avoid (template-string HTML, external assets).DesignNo warnings★ 1.5K↓ —
- tddNewhashgraph-online/awesome-codex-pluginsWhen a bug can be caught by an inexpensive local test, write that narrow failing test before the fix, check that it fails because of the bug, then fix the code and watch the test pass. Use on /tdd, "write a failing test first", "add a regression test", or when a bug has an obvious inexpensive test location.TestingNo warnings★ 1.5K↓ —
- 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↓ —Also in 1 other repo
- partshashgraph-online/awesome-codex-pluginsStudios build on each other with parts from games, apps, music and video that their owners choose to share or sell (a creature, a level generator, a chase camera, a bot brain, a pickup mechanic, an audio pack). Use this when planning or making games, apps, music or video (look for pieces before writing one from scratch), when the person asks what parts exist, says "use the X from that game", "make this reusable" or "share this", and before a game that uses parts goes online.MediaNo warnings★ 1.5K↓ —
pnas-statistics
brycewang-stanford/Awesome-Journal-Skills
From the author
Use to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control, randomization/blinding, sample-size justification, pre-registration where relevant, and reproducible code.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnas-statistics -a claude-code
Installs to .claude/skills/pnas-statistics/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 88
Files (1)
- SKILL.md