GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
按职业浏览 Agent Skills
为不同岗位挑选的高频技能
按使用场景浏览 Agent Skills
从你要完成的任务出发
按创作者浏览 Agent Skills
按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196852
bmad-editorial-review-prose
Clinical copy-editor that reviews text for communication issues. Use when user says review for prose or improve the prose
bmad-edit-prd
Edit an existing PRD. Use when the user says "edit this PRD".
microsoft-foundry
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
bmad-domain-research
Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
media-dub
Use when producing a local DUB of a video — re-voicing the speech into another language (or restyling it in the same language) while KEEPING the original speaker's voice, fully offline. The safe-ship engine is Chatterbox-Multilingual (Resemble AI, MIT, 23-language zero-shot voice clone); the pipeline rides the existing media_studio substrate (Parakeet/whisper ASR -> CTC word-alignment -> ffmpeg `atempo` duration-fit -> `sidechaincompress` ducking -> mux). Covers the `dub.start` RPC, the ASR->translate->synth->fit->assemble->duck+mux stages, the per-segment `atempo` time-stretch that lands each clip in its source slot, the full-length VO track assembled with `adelay`+`amix`, and the LICENSE gate: an optional IndexTTS2 native-duration-control engine and an optional LatentSync lip-sync are COMMERCIAL-embed-gated on the `dub-license` needsDecision — the gate runs in SHADOW mode (observe + log, never blocks), and a commercial build defaults to Chatterbox-only unless the owner explicitly opts in (`allowGated`). Do NOT use for: pure TTS narration with no source voice to clone (use the `speech` skill); muxing an ALREADY-finished dub track (use audio-extract-mix); transcription/subtitle generation only (use transcribe/caption); or lip-sync without a dub. Source of truth: media_studio/features/dub.py.
bmad-document-project
Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
mechanistic-ddi-pipeline
Use to orchestrate a full mechanistic drug-drug interaction verdict by combining two MCP stacks - ToolUniverse CYP/UGT/transporter and DDI knowledge plus FDA-label evidence with Schrodinger structure tools (SMILES to 3D, descriptors, ADMET, optional docking). Use when a DDI question needs both biomedical knowledge-base lookups and structure-level computation fused into one perpetrator-victim verdict with severity, mechanism, and management.
bmad-distillator
Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.
mcp-server-patterns
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
bmad-dev-story
Execute story implementation following a context filled story spec file. Use when the user says "dev this story [story file]" or "implement the next story in the sprint plan"
mcp-graphql
Use when installing or configuring blurrah/mcp-graphql for Codex, Claude Code, or Gemini CLI, or when an MCP client needs GraphQL schema introspection and query execution against a known endpoint.
bmad-create-ux-design
Plan UX patterns and design specifications. Use when the user says "lets create UX design" or "create UX specifications" or "help me plan the UX"
bmad-create-story
Creates a dedicated story file with all the context the agent will need to implement it later. Use when the user says "create the next story" or "create story [story identifier]"
mcp-fleet-curation
Use when plugins, skills, or MCP servers keep REAPPEARING after you disable them, when de-bloating the Claude Code catalogue, or when the per-turn tool/token count creeps back up. The permanent cure - disable at USER scope (claude plugin disable name@mkt --scope user), NOT the UI toggle (which writes project scope and returns when the cwd changes) - plus periodic mcp_doctor audit to catch drift. Covers the two root causes (install = enabled-by-default, and scope mismatch), the reversible park/restore flow for MCP servers in the .mcp.json files, and the catalogue-tax model behind the bloat.
bmad-create-prd
Create a PRD from scratch. Use when the user says "lets create a product requirements document" or "I want to create a new PRD"
mcp-code-orchestrate
Use when one task needs the SAME tool-call shape repeated across MANY items - an xref-walk over dozens of functions, a descriptor sweep over many SMILES, batch-resolving or screening a list of papers, or aggregating one query across several MCP servers. Write ONE script (Python via the Bash tool) that calls the underlying provider CLIs, native libraries, or MCP stdio, filters and aggregates IN-CODE, and returns ONLY the distilled result, instead of N model round-trips that each bloat context with raw tool output. This is Anthropic's code-execution-with-MCP pattern (up to ~98.7% fewer tokens on fan-out work). Decision rule - reach for it once you would otherwise make more than about 5 same-shape tool calls. Not for a single tool call.
bmad-create-epics-and-stories
Break requirements into epics and user stories. Use when the user says "create the epics and stories list"
malware-analysis-triage
Use when triaging a suspicious PE, ELF, .NET binary, or shellcode for authorized malware analysis, defensive detection engineering, CTF, or reverse engineering.