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 196474
zig-interop
Zig FFI and cross-language interop from Bun, Ghostty, and TigerBeetle. Use when wrapping C libraries, binding C++, exporting Zig as C, or configuring build.zig for C compilation.
zig-async-skill
Zig 0.16.0 async I/O programming with the new std.Io interface. Use when working with Zig 0.16.0+ async code, event loops, concurrent tasks, or non-blocking I/O.
writing-fragments
Writing, explore: mine raw fragments, no structure yet.
writing-for-agents
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
writing-beats
Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.
wizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
what-did-i-get-done
Summarize authored commits over a user-specified time period into a concise update
weekly-review
Produce a weekly synthesis of authored commits with highlights by bugfix, tech debt, and net-new work
wayfinder
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
verify-this
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or INCONCLUSIVE.
vera
Code search over the current repository. In a repository with a Vera index, your first search goes through Vera, not grep, rg, or file reads. Run `vera overview` in an unfamiliar repository, `vera search "<what the code does>"` for how or where something works, `vera structural definitions <symbol>` or `vera references <symbol>` when the question names a symbol, and `vera grep "pattern"` for exact text or regex. Fall back to grep after a Vera call has missed, or use your usual search tools when no index exists.
typesafe-ai
Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine. Use when a feature needs programmable common sense, when brainstorming what AI could make possible in an app, or when an LLM prompt-and-parse step could become a structured decision. Applications include routing, ranking, extraction, verification, and interactive experiences; these are starting points, not the limits. Read live docs and cookbooks to find useful patterns and discover new combinations.
triage
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
to-tickets
Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).
to-spec
Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.
to-questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
thermo-nuclear-code-quality-review
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
teach
Teach the user a new skill or concept, within this workspace.