一键导入
init
Use when the user asks to initialize a repo, create AGENTS.md, generate contributor guidelines, or set up agent-oriented documentation for a codebase.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use when the user asks to initialize a repo, create AGENTS.md, generate contributor guidelines, or set up agent-oriented documentation for a codebase.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
'Generate PDFs, resumes, CVs, letters, slide decks, portfolios, one-pagers, white papers, and professional documents. Use when user asks to create a PDF, make a resume, write a letter, design slides, format a document, typeset a report, build a portfolio, make a presentation, or create a one-pager. Warm parchment, ink-blue accent, serif-led hierarchy. CN uses TsangerJinKai02, EN uses Charter, JA uses YuMincho (best-effort). Triggers on Chinese: "做 PDF / 排版 / 一页纸 / 白皮书 / 作品集 / 简历 / PPT / slides". Do NOT use for code formatting, data charts, or wireframes.'
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
Manage the ChromaDB vector database that stores the ecosystem's persistent memory. Use when user asks to check memory storage, backup memory, search stored entries, delete entries, or reset the vector database. Do NOT use for general question answering about past sessions (use the memory skill for that).
Review code changes for correctness, security, performance, and code quality. Use when the user asks to review a diff, review code changes, review commits, or perform a code review. Input can be: (1) a text diff pasted directly, (2) one or more git commit hashes to extract the diff from, or (3) a git range like abc123..def456. The user may also provide task description or requirements that motivated the change.
Comprehensive code review using parallel specialized subagents. If a PR URL is provided, fetches PR details and can post comments. If no PR is provided, reviews the diff between the current branch and its base branch plus any uncommitted changes. CRITICAL: this skill is costly, don't use it unless user explicitly requested to use it.
| name | init |
| description | Use when the user asks to initialize a repo, create AGENTS.md, generate contributor guidelines, or set up agent-oriented documentation for a codebase. |
| triggers | ["initialize repo","init repo","create AGENTS.md","contributor guidelines","set up project","repository setup","project initialization","new project setup"] |
| negatives | ["build tool","template","boilerplate","scaffold component","scaffold project"] |
| license | MIT |
| compatibility | opencode |
| disable-model-invocation | true |
| metadata | {"version":"1.3.0","workflow":"system","audience":"developers"} |
Analyze a codebase and generate a concise, accurate AGENTS.md contributor guide.
Target: the current working directory, unless user provided another folder as input.
Collect facts about the repository. Only record what is actually found — never invent information.
These probes are independent — run them in parallel (e.g., dispatch subagents) when the tooling supports it.
Map the repo structure (3 levels deep, excluding .git, node_modules, dist, build, pycache, .venv and other autogenerated folders). This is analysis input — the output AGENTS.md should describe non-obvious architecture, not list directories. Focus on the "big picture" that requires reading multiple files to understand.
Extract actual command definitions from the project's build system: package.json scripts, Makefile targets, pyproject.toml scripts, Cargo.toml bins/workspace members, go.mod module path, docker-compose.yml services, etc.
Check for and record key settings of:
.cursorrules, .cursor/rules/, .github/copilot-instructions.mdIf agent rules files exist, read and extract the important parts — focus on conventions that matter for code generation, not verbatim content.
Review the last 20 commits to identify commit message conventions and patterns. If this fails (not a git repo or shallow clone), note the limitation and skip.
README.md exists, read it for context about the repo's purpose and setup.AGENTS.md already exists, read it — you'll be improving it rather than starting fresh.CLAUDE.md exists, read it for additional context.# Repository Guidelines## Project Structure & Module Organization Architecture that requires reading multiple files to understand. Omit anything obvious from opening a single file.
## Build, Test, and Development Commands Actual commands from the build system. Include how to run a single test.
## Coding Style & Naming Conventions Enforced rules from linter/formatter configs. Include tool names.
## Testing Guidelines Test framework, how to run tests, coverage requirements if any.
## Commit & Pull Request Guidelines Commit conventions derived from actual git history. Note any PR templates.
Add other sections only if facts strongly support them (e.g., Architecture Overview, Agent Instructions).
Do not include generic development practices such as:
Do not invent sections like "Common Development Tasks" or "Tips for Development" unless the repo's own documentation expressly contains them. Do not list every file — only document what is non-obvious.
Before finalizing, verify:
npm test over "run the test suite"| Cause | Fix |
|---|---|
| Not a git repository | Skip git history section. Note limitation explicitly in output. |
| Shallow clone with limited commit history | Use available commits. Note "limited history available." |
| No build system detected | Skip build commands section. Document that no formal build system was found. |
| Existing AGENTS.md has inaccuracies | Fix errors, fill gaps, remove generic advice. Show diff before overwriting. |
| Agent rules files not found | Skip agent rules integration. Never invent conventions. |
| Mixed or ambiguous conventions across files | Note the inconsistency. Default to the dominant convention in the majority of files. |
| Empty repository with no source files | Generate minimal AGENTS.md with project name only. Add "populate as project grows." |
| Pattern | Problem | Fix |
|---|---|---|
| Including generic advice ("write unit tests") | Not actionable, not project-specific | Only include conventions actually enforced in the codebase |
| Listing every directory in the repo | Adds noise, not architecture insight | Document only non-obvious structure that spans multiple files |
| Copying agent rules verbatim into AGENTS.md | Redundant and bloated | Weave important rules into relevant sections only |
| Inventing commands not in the build system | Build breaks when user tries them | Extract commands only from actual build system files |
| Missing sections where evidence exists | Incomplete onboarding guide | Include all sections that have supporting evidence |
| Overwriting correct, specific existing content | Loses institutional knowledge | Preserve correct content. Fix only inaccuracies and gaps. |
| Exceeding 400 words with filler prose | Too long to scan; loses utility | Cut every sentence that doesn't convey a specific convention |