OpenParable
Skip to content
← Back to skills

Deepwiki Rs

Documents
deepwiki-rs

Deepwiki Rs is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

View on GitHub ↗
QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/development/deepwiki-rs/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/deepwiki-rs, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Litho (deepwiki-rs) - AI-Powered Documentation Generation

Quick Start Guide

Use Litho when you need to:

  • Analyze entire codebases and generate architecture documentation
  • Create C4 model diagrams (Context, Container, Component, Code)
  • Understand complex software systems and module relationships
  • Generate comprehensive technical specifications
  • Document architecture evolution and design decisions

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

Decision Tree

📋 Comprehensive Documentation → Use "Full Litho Workflow"

Generate complete C4 model documentation with architecture diagrams and technical specs.

⚡ Quick Code Analysis → Use "Basic Analysis Mode"

Fast code insights without full documentation pipeline.

🏗️ Architecture Understanding → Use "Advanced C4 Generation"

Deep architectural analysis with detailed component relationships.

🔄 CI/CD Integration → Use "Automated Pipeline"

Continuous documentation generation for development workflows.

Key Capabilities

Multi-Language Support

  • Rust, Python, Java, Go, C#, JavaScript/TypeScript
  • Any language with recognizable code structure

Documentation Structure

project-docs/
├── 1. Project Overview
├── 2. Architecture Overview  
├── 3. Workflow Overview
└── 4. Deep Dive/
    ├── Topic1.md
    └── Topic2.md

Essential Parameters

  • -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 phase

Advanced Resources

For detailed configuration, troubleshooting, and advanced patterns:

Security & Performance Notes

  • Install only from trusted sources
  • Use --model-efficient for large codebases
  • Batch processing helps avoid API rate limits
  • Memory-constrained environments: use --skip-preprocessing

Installation

# 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