Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
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Use when creating or rewriting README.md for projects. Triggers on "write README", "create README", "update README". Creates human-focused documentation with proper structure.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Generate human-focused README files following current best practices.
Core principle: README is for humans, not agents. Research → Analyze → Write.
Model recommendation: Use Task tool with model: haiku for README generation — faster and cheaper for documentation tasks.
digraph readme_flow {
rankdir=TB;
"1. Research best practices via Exa" [shape=box];
"2. Analyze project structure" [shape=box];
"3. Identify project type" [shape=diamond];
"4. Write README with appropriate sections" [shape=box];
"5. Commit and push if requested" [shape=box];
"1. Research best practices via Exa" -> "2. Analyze project structure";
"2. Analyze project structure" -> "3. Identify project type";
"3. Identify project type" -> "4. Write README with appropriate sections";
"4. Write README with appropriate sections" -> "5. Commit and push if requested";
}
Always search first for current README best practices:
mcp__exa__web_search_exa: "best practices README.md {year} {project_type}"
Look for:
Read these files to understand the project:
CLAUDE.md or existing docspackage.json / pyproject.toml / Cargo.toml| Type | Key Sections |
|---|---|
| CLI Tool | Usage examples, Options table, Installation |
| Library/SDK | API overview, Quick start, Examples |
| Web App | Features, Quick start, Architecture diagram |
| Full-stack | Architecture, Quick start both parts, Tech stack |
| AI/ML | Model info, Requirements (GPU), Examples |
Essential (all projects):
# Project Name
**One-line value proposition.**
Brief description (2-3 sentences max).
## What It Does / Features
- Bullet points of capabilities
- Focus on VALUE not implementation
## Quick Start
Minimal steps to get running (< 5 commands)
## Requirements
- Runtime versions
- System requirements
- Disk space if significant
## Usage
Examples for common cases
## Tech Stack (if non-trivial)
Table format preferred
## License
Optional by project type:
| Section | When to Include |
|---|---|
| Architecture diagram | Web apps, full-stack, complex systems |
| Project Structure | Open source, contribution expected |
| API Reference | Libraries, SDKs (or link to docs) |
| Related Skills | If Claude Code skills exist |
| CLI Options table | CLI tools |
| Configuration | Apps with config files |
| Known Limitations | If significant gotchas exist |
DO:
DON'T:
If project has Claude Code skills, add:
## Related Skills
| Skill | Trigger | What it does |
|-------|---------|--------------|
| `skill-name` | "trigger phrase" | Brief description |
| Project has... | Include |
|---|---|
| Web UI | Screenshot or architecture |
| CLI | Options table, examples |
| API | Endpoint summary (not full docs) |
| AI/ML | Model, hardware requirements |
| Claude skills | Related Skills table |
| Complex arch | Mermaid diagram |
| Mistake | Fix |
|---|---|
| API docs dump | Link to separate file or remove |
| No quick start | Add "clone → run" in < 5 steps |
| Wall of text | Use bullets, tables, code blocks |
| Missing requirements | Always list runtime + system reqs |
| Generic description | Start with specific value prop |
# Project Name
**Value proposition in one line.**
Brief description.
## Features
- Feature 1
- Feature 2
## Quick Start
\`\`\`bash
./start.sh
\`\`\`
## Requirements
- OS/hardware
- Runtime versions
## Tech Stack
| Layer | Stack |
|-------|-------|
## Architecture
\`\`\`mermaid
flowchart...
\`\`\`
## Project Structure
\`\`\`
project/
├── ...
\`\`\`
## Related Skills
| Skill | Trigger | Description |
## Development
How to test, build
## License
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Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
中文简介正在准备中。当前显示原文说明。
Audits the agent rules in the current folder (AGENTS.md, nested AGENTS.md files) and the skill descriptions the agent sees at start, then reports what to cut, move or rewrite and edits only after the user says yes. Use on «аудит правил», «проверь AGENTS.md», «почему агент не слушается правил», «проверь скиллы».
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Робот агента Personal Corp. Агент делает себе голову робота из набора деталей, хранит её в штабе в stack/avatars.json и кладёт в штаб страницу avatar/robot.html, где робот стоит за партой своего штаба и вокруг видны отделы, без сервера и интернета. На уроке по ссылке входа с экрана урока робот входит в живой класс и горит маячком, пока агент работает. Триггеры /avatar, /avatar <ссылка входа>, сделай себе аватар, покажи своего робота, приди на урок.
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Use when choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not from marketing pages: speech recognition for meeting recordings, the model that turns a transcript into notes, the critic model that checks it. Runs every variant in an isolated container, measures time, cost per hour of input (USD and RUB, with price source and date) and quality (WER/CER and course terms for ASR; code checks plus a judge of a different model for LLM steps), writes results.json/csv and one static analytics page. Triggers on "бенчмарк", "сравни движки", "сколько стоит час записи", "какую модель взять для пайплайна", "benchmark the pipeline", "compare ASR engines".
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Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал"
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Use when needing strategic project analysis from multiple independent expert perspectives. Triggers on business decisions, growth strategy, product direction, competitive analysis, or any situation where diverse C-level opinions reduce blind spots
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