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
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从你要完成的任务出发
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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoftopenclaw
@openclawOpenAI
@openaiThe Apache Software Foundation
@apacheGitHub
@githubAnthropic
@anthropicsAutoGPT
@Significant-GravitasGarry Tan
@garrytan全部 Skills 192125
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
domain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
diagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
codebase-design
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
code-review
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
atomic-commits
Split the current worktree (staged and unstaged) into a sequence of atomic commits whose messages match the repository's existing conventions, guarding the process with a snapshot so no change is lost or introduced. Invoke explicitly when you want pending work committed as clean, logically separated commits. Pass `--fix` to commit the plan without waiting for approval.
ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
antislop
Anti Slop: Rules for AI Coding Agents. The core filter. Load always to stop generic AI slop.
antislop-ui
UI and visual skill for antislop. Use when building or editing any interface: color, layout, components, motion, and page performance. Load with the core.
antislop-layoutmobile
Mobile layout skill for antislop. Use for layouts that reflow across screen sizes, phone to desktop: grids, overflow, tap targets. Load with the core.
antislop-human
Human and accessibility skill for antislop. Contrast, keyboard, focus, states, and interaction affordances for real people. Includes the contrast checker.
antislop-copywriting
Copy and text skill for antislop. Use when writing or editing prose: headlines, tone, CTAs, and anti-AI-writing patterns. Load with the core.
antislop-code
Code comment hygiene for AI coding agents: remove generic AI-slop comments, keep the valuable ones, never touch the code.
address-pr-review
Work through the review feedback on a GitHub pull request. Fetches every unresolved review comment with gh, verifies each one against the code, fixes the valid ones as one commit per comment (each carrying a `Review-Comment:` trailer that links the comment), and drafts a reply for every comment in REPLY.md for the user to review. With `--decide`, it also settles the comments that would wait on the user's decision, taking the recommended option. Invoke explicitly with a PR link, or a link to a single review or comment.
grilling
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
grill-with-docs
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
grill-me
A relentless interview to sharpen a plan or design.
domain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.