ai-ready 精选
Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
安装方式
cp -r skills/ai-ready ~/.claude/skills/ai-ready把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/github/awesome-copilot/70ddff7fab9d4d49743d221b56d761cff58048d0/skills/ai-ready/SKILL.md下载后另存为 ~/.claude/skills/ai-ready/SKILL.md。链接锁定采集时的 commit，内容与本站展示一致。
整仓一次性获取：git clone --depth 1 https://github.com/github/awesome-copilot.git
依赖与权限
- 无需 API Key
- 需要联网访问外部服务
- 依赖外部命令：
make - 以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。
触发场景
set up AI configprepare this repo for
SKILL.md 正文
AI Ready
This skill helps the user install the latest ai-ready skill by John Papa.
Why?: The full ai-ready skill is ~600 lines of detailed instructions that evolve frequently. This wrapper keeps it discoverable here while the source of truth stays in johnpapa/ai-ready — always up to date.
Steps
- Tell the user to add the skill by running this command inside Copilot CLI:
/skills add johnpapa/ai-readyThis downloads the latest version of the skill to their personal skills directory. Re-running the command updates to the latest version.
- Remind the user to review the skill before loading it. They can inspect it with:
head -20 ~/.copilot/skills/ai-ready/SKILL.md- After the user confirms they've reviewed and installed it, tell them to reload skills with
/skills reloadand then saymake this repo ai-ready. - Do not run the command on the user's behalf. The user must run it themselves.
质量与来源
- 所属仓库
- github/awesome-copilot
- 仓库星标
- 4.0 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- 70ddff7fab9d
- 内容指纹
- sha256:eafb73ade36a0c3
- 文件路径
- skills/ai-ready/SKILL.md
同仓库其它 Skill
查看全部 50 个agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
code-review
Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.
create-canvas-extension
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
acquire-codebase-knowledge
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
acreadiness-assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-generate-instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
相似 Skill
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