Agent skill · Design & Presentation

analyze-claude-code

Analyze Claude Code CLI source code to understand its architecture, implementation details, and design patterns. Use when users want to explore how Claude Code works internally, understand specific features like tools/hooks/MCP/permissions, or learn from its codebase design. Triggers on questions about Claude Code internals, source code analysis requests, or "how does Claude Code implement X" or "what's the prompts of claude code's tools" or "what's the system prompt of claude code" queries.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyze-claude-code --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/analyze-claude-code/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analyze Claude Code Deep dive into Claude Code CLI source code to understand its architecture and implementation. ## Setup: Download and Format Source ```bash # One-liner: download, extract, and format curl -sL "$(curl -s https://registry.npmjs.org/@anthropic-ai/claude-code/latest | jq -r '.dist.tarball')" -o claude-code.tgz && tar -xzf claude-code.tgz && npx js-beautify --replace package/cli.js ``` ## Official Documentation **Access official docs via WebFetch tool:** Use the WebFetch tool to query Claude Code's official documentation when you need authoritative information about features, API, or best practices. **Documentation entry point:** - URL: `https://code.claude.com/docs/llms.txt` - Contains: Quickstart, CLI Reference, Settings, Hooks, MCP, Skills, Plugins, Security, and more **Example queries:** ```bash # Get documentation overview Use WebFetch tool with: url: https://code.claude.com/docs/llms.txt prompt: "Show me the table of contents and main sections" # Query specific topics Use WebFetch tool with: url: https://code.claude.com/docs/llms.txt prompt: "How do hooks work? Explain with examples" Use WebFetch tool with: url: https://code.claude.com/docs/llms.txt prompt: "W

What's inside
Steps it walks through
  1. Setup: Download and Format Source
  2. Official Documentation
  3. Key Modules
  4. 1. Prompts
  5. 2. Tools
  6. 3. Subagents
  7. 4. Hooks
  8. 5. Skills
  9. 6. Plugins
  10. 7. Slash Commands
  11. 8. MCP (Model Context Protocol)
  12. 9. Memory (CLAUDE.md)
  13. 10. Settings
  14. Analysis Tips
Ships with 1 file
  • metadata.json
Commands it runs
Get documentation overview
Use WebFetch tool with:
Query specific topics
Find Claude identity
grep -n "You are Claude" package/cli.js
Find prompt sections (around line 435350)
grep -n "# Tone and style\|# Doing tasks\|# Tool usage policy" package/cli.js
Find tool descriptions
grep -n "Executes a given bash command\|Reads a file from\|Fast file pattern" package/cli.js
Layer 3: Code characteristics (start here)
More from claude-skill-registry
All skills →
About this skill
What does the analyze-claude-code skill do?

Analyze Claude Code CLI source code to understand its architecture, implementation details, and design patterns. Use when users want to explore how Claude Code works internally, understand specific features like tools/hooks/MCP/permissions, or learn from its codebase design. Triggers on questions about Claude Code internals, source code analysis requests, or "how does Claude Code implement X" or "what's the prompts of claude code's tools" or "what's the system prompt of claude code" queries.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyze-claude-code --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going