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Agent skill

Deepwiki Rs

by sopaco in sopaco/deepwiki-rs

AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation.

MITAuto-check passedDevelopment

Install Deepwiki Rs

skills CLI
$ npx skills add sopaco/deepwiki-rs --skill deepwiki-rs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sopaco/deepwiki-rs deepwiki-rs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sopaco/deepwiki-rs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skill-litho .claude/skills/deepwiki-rs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deepwiki-rs
GitHub stars
3.1k
Token cost
~748 tokens
SKILL.md length
214 words
Files
7 (incl. scripts)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation.

  • Claude needs to analyze source code
  • SKILL.md covers Quick Start Guide, Decision Tree, Key Capabilities and Advanced Resources, plus 2 more sections
  • Runs Shell scripts from its folder; calls cargo and git
  • Understand software architecture

What it does

Deepwiki Rs is an agent skill from sopaco/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.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `configuration.md`, `examples.md` and `integration.md`).

It sits in Development, covering Diagrams, Software architecture and Codebase onboarding. It works with Rust. The repository describes itself as: Turn code into clarity. Generate accurate technical docs and AI-ready context in minutes—perfectly structured for human teams and intelligent agents. The licence is MIT.

When your agent uses it

  • Claude needs to analyze source code
  • Understand software architecture
  • Generate technical specs
  • Create professional documentation from any programming language

Example prompts

  • “/deepwiki-rs”

Requirements

  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 27dbd3e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • cargo
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deepwiki Rs loads about 748 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~748

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from sopaco/deepwiki-rs at commit 27dbd3e, republished under its MIT licence (© sopaco). 214 words, ~748 tokens.

Download SKILL.mdSave it as .claude/skills/deepwiki-rs/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
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.

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 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

bash
# 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

© sopaco, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts) in assets/skill-litho of sopaco/deepwiki-rs.

  • SKILL.md
  • configuration.md
  • examples.md
  • integration.md
  • scripts/ci-setup.sh
  • scripts/quick-start.sh
  • troubleshooting.md

Open the folder on GitHubat commit 27dbd3e

Compare with similar skills

Deepwiki Rs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deepwiki Rs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepwiki Rs this skillsopaco/deepwiki-rs3.1k—~748Automated safety check: PassMIT
Dark Architecture Diagram BuilderCocoon-AI/architecture-diagram-generator7.4k1 repos~2.1kAutomated safety check: PassMIT
GitDiagram Repository Overviewahmedkhaleel2004/gitdiagram18k—~427Automated safety check: PassMIT
Code Graph Mermaid Diagramstrailofbits/skills7.4k—~1.7kAutomated safety check: PassCC-BY-SA-4.0
Mermaid Diagramsjjmartres/opencode1336 repos~1.9kAutomated safety check: PassMIT
GitDiagram Repo Architectureahmedkhaleel2004/gitdiagram18k—~429Automated safety check: PassMIT

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  • Codegraph Skill

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  • Repomix Context Skill

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  • Rtk Skill

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  • Terrain Knowledge Skill

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Works with

Categories

Questions about Deepwiki Rs

What does Deepwiki Rs do?

AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Deepwiki Rs is an agent skill from sopaco/deepwiki-rs. AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation.

When should I use Deepwiki Rs?

Deepwiki Rs fits situations like: Claude needs to analyze source code; understand software architecture; generate technical specs; create professional documentation from any programming language.

How do I install Deepwiki Rs in Claude Code?

Run `npx skills add sopaco/deepwiki-rs --skill deepwiki-rs -a claude-code`. Or copy the skill folder (assets/skill-litho in sopaco/deepwiki-rs) into .claude/skills/deepwiki-rs in your project. Claude Code loads it when a task matches its description.

How do I install Deepwiki Rs in Codex?

Run `npx skills add sopaco/deepwiki-rs --skill deepwiki-rs -a codex`. Or copy the skill folder (assets/skill-litho in sopaco/deepwiki-rs) into .agents/skills/deepwiki-rs in your project. Codex loads it when a task matches its description.

Can I use Deepwiki Rs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sopaco/deepwiki-rs --skill deepwiki-rs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepwiki-rs, .gemini/skills/deepwiki-rs, .github/skills/deepwiki-rs and .opencode/skills/deepwiki-rs in your project.

What does Deepwiki Rs need to run?

Going by SKILL.md and its folder, Deepwiki Rs needs a shell for the scripts in its folder and the command-line tools its instructions call (cargo and git). Our summary lists: A Bash shell.

Does Deepwiki Rs access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Deepwiki Rs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Deepwiki Rs use?

Deepwiki Rs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepwiki Rs use?

About 748 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deepwiki Rs?

Skills that share tags, products or a category with Deepwiki Rs: Dark Architecture Diagram Builder (Cocoon-AI/architecture-diagram-generator, 7.4k stars), GitDiagram Repository Overview (ahmedkhaleel2004/gitdiagram, 18k stars), Code Graph Mermaid Diagrams (trailofbits/skills, 7.4k stars) and Mermaid Diagrams (jjmartres/opencode, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepwiki Rs?

sopaco (a GitHub user) maintains it in sopaco/deepwiki-rs, which has 3,115 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 14, 2026.

Source: sopaco/deepwiki-rs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.