// AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language.
This skill should be used when the user asks to "generate project documentation", "analyze codebase architecture", "create C4 architecture diagrams", "document a repository", "generate technical docs", "使用 Litho 生成文档", "分析代码库架构", "生成架构文档", "为项目生成技术文档", "生成 C4 模型文档", "为这个项目写文档", "自动生成文档", "帮我分析这个代码库", or any request involving automated documentation generation for a software project. This skill enables the AI agent to autonomously analyze any codebase and produce high-quality C4 architecture documentation (Overview, Architecture, Workflow, Deep-Exploration modules, Boundary Interfaces, Database Overview) — equivalent to what deepwiki-rs produces — purely through agent reasoning and tool usage, without depending on any external binary.
Project knowledge base for coding agents. Activate when: (1) starting a new session in this project, (2) encountering unfamiliar code patterns or architecture decisions, (3) user asks about project design or rationale, (4) before making significant structural changes. Contains tiered knowledge from stable design principles to dynamic issues.
AI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.
| name | deepwiki-rs |
| description | AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language. |
Use Litho when you need to:
Core Workflow:
# Basic codebase analysis
deepwiki-rs -p ./src
# Complete C4 documentation with dual models
deepwiki-rs -p ./project --model-efficient gpt5-mini --model-powerful gpt5
Generate complete C4 model documentation with architecture diagrams and technical specs.
Fast code insights without full documentation pipeline.
Deep architectural analysis with detailed component relationships.
Continuous documentation generation for development workflows.
project-docs/
├── 1. Project Overview
├── 2. Architecture Overview
├── 3. Workflow Overview
└── 4. Deep Dive/
├── Topic1.md
└── Topic2.md
-p, --path: Source directory-o, --output: Output location (default: ./litho.docs)--model-efficient: Fast model for quick analysis--model-powerful: Capable model for deep analysis--skip-preprocessing: Skip initial scanning phase--skip-research: Skip AI research phaseFor detailed configuration, troubleshooting, and advanced patterns:
--model-efficient for large codebases--skip-preprocessing# Install from crates.io (recommended)
cargo install deepwiki-rs
# Build from source
git clone https://github.com/sopaco/deepwiki-rs.git && cd deepwiki-rs && cargo build --release