How do I access the Claude Code source code?

This skill provides a convenient one-liner bash command that downloads the latest package from the NPM registry, extracts it, and uses js-beautify to make the code readable.

What parts of Claude Code can I explore with this?

You can explore almost every internal facet including prompts, tools, subagent delegation, hooks, plugins, slash commands, MCP, and memory management.

Can this skill help me build custom tools?

Yes, by analyzing the internal 'Tools' module patterns, you can learn how to define JSON schemas, validation logic, and execution environments for your own tools.

Is it difficult to read the minified source code?

While the code is minified, this skill provides tips on searching for string literals and using context flags in grep to trace functionality effectively.

Claude Code Source Analyzer

Name: Claude Code Source Analyzer
Author: kaichen

bykaichen

Learning & Documentation

Analyzes the Claude Code CLI source code to uncover architectural patterns, tool implementations, and internal design logic.

About

This skill provides a comprehensive framework for deep-diving into the @anthropic-ai/claude-code package. It empowers developers to understand the internal workings of Claude Code, from how tools are sandboxed and subagents are managed to the structure of system prompts and plugin architectures. By providing specific grep patterns and extraction workflows, it bridges the gap between using the CLI and understanding its sophisticated implementation details, making it an essential tool for anyone building extensions or studying agentic workflows.

Key Features

Guidance on interpreting minified codebase structures
Deep-dive analysis of event-driven hooks and plugin systems
Targeted search patterns for prompts, tools, and subagents
Tracing logic for MCP integration and tool discovery
0 GitHub stars
Automated source code download and beautification workflow

Use Cases

Learning how to implement custom plugins and hooks following official patterns
Investigating the sandboxing and permission logic for built-in tools
Extracting and studying system prompts to understand model behavior

About

Key Features

Guidance on interpreting minified codebase structures
Deep-dive analysis of event-driven hooks and plugin systems
Targeted search patterns for prompts, tools, and subagents
Tracing logic for MCP integration and tool discovery
0 GitHub stars
Automated source code download and beautification workflow

Use Cases

Learning how to implement custom plugins and hooks following official patterns
Investigating the sandboxing and permission logic for built-in tools
Extracting and studying system prompts to understand model behavior