How do I install the Deepwiki Rs skill?

Run npx skillmds@latest add tomevault-io/deepwiki-rs in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Deepwiki Rs safe to use?

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Which AI agents work with Deepwiki Rs?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Deepwiki Rs free to use?

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Who published Deepwiki Rs?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Deepwiki Rs by tomevault-io — Agent Skill

Name: Deepwiki Rs
Author: tomevault-io

Deepwiki Rs

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 when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

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:

See configuration.md for comprehensive setup guides
See examples.md for real-world usage patterns
See integration.md for CI/CD and automation
See troubleshooting.md for common issues

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

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: deepwiki-rsdescription: 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 when this capability is needed.---# 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:**```bash# Basic codebase analysisdeepwiki-rs -p ./src# Complete C4 documentation with dual modelsdeepwiki-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 ResourcesFor detailed configuration, troubleshooting, and advanced patterns:- See [configuration.md](./configuration.md) for comprehensive setup guides- See [examples.md](./examples.md) for real-world usage patterns - See [integration.md](./integration.md) for CI/CD and automation- See [troubleshooting.md](./troubleshooting.md) for common issues## 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```bash# Install from crates.io (recommended)cargo install deepwiki-rs# Build from sourcegit clone https://github.com/sopaco/deepwiki-rs.git && cd deepwiki-rs && cargo build --release```---> Converted and distributed by [TomeVault](https://tomevault.io/claim/sopaco) — claim your Tome and manage your conversions.

Frequently asked questions