UltraCode AutoDoc

Generate and update AUTODOC.md documentation with semantic search across code and markdown files.

8|2|Updated Nov 16, 2025

Search Tags:#developer tools #documentation #project memory #semantic search #code generation #code understanding

Ready to run

npx skills add https://github.com/faxenoff/ultracode --skill ultracode-autodoc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: UltraCode AutoDoc
Source: https://github.com/faxenoff/ultracode/tree/main/claude-skills/ultracode-autodoc
Command: npx skills add https://github.com/faxenoff/ultracode --skill ultracode-autodoc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation and maintenance of code documentation, making it easier to understand complex codebases and find relevant information quickly through semantic search.

Core Features & Use Cases

Auto-generated Documentation: Automatically creates and updates documentation files (AUTODOC.md) for code modules.
Semantic Search: Enables searching across both code and documentation using natural language queries, finding information even without exact keywords.
Project Memory: Builds a comprehensive understanding of the project's meaning, processes, and business logic, linking directly to code.
Use Case: When onboarding a new developer, use autodoc_search to quickly find explanations and code locations for specific features, significantly reducing ramp-up time.

Quick Start

Initialize the AutoDoc system for the current project with English as the documentation language.

Frequently Asked Questions about UltraCode AutoDoc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate code documentation generation for a large project?▼

Automating code documentation generation is achieved by creating and continuously updating AUTODOC.md files for code modules. This builds a comprehensive project memory by linking business context directly to the codebase.

How does semantic search work for finding relevant code and documentation?▼

Semantic search enables finding information across code and markdown files using natural language queries without needing exact keywords. It supports hybrid search modes to retrieve relevant code locations and explanations quickly.

What is the best way to reduce developer onboarding time in a complex codebase?▼

Reducing developer onboarding time involves using semantic search to quickly find explanations and code locations for specific features. This builds a comprehensive understanding of project processes and business logic.

Can I search code using natural language queries without matching exact keywords?▼

Searching code without exact keywords is possible using semantic search capabilities across both code and documentation files. It interprets natural language queries to find relevant information and specific code locations.

How do I initialize a project memory system that links business logic to code?▼

Initializing a project memory system starts the AutoDoc process for the current project, setting English as the documentation language. It builds project understanding by auto-updating code references and enriching documentation with business context.

Does auto-generated documentation work with existing markdown files?▼

Auto-generated documentation integrates with existing markdown files by enabling semantic search across both code and markdown. It auto-updates code references and enriches the overall documentation with business context.