Which programming languages does this support?

It supports any project using common manifests such as package.json, Cargo.toml, pyproject.toml, go.mod, and more.

Does this skill overwrite my manual documentation?

No, the skill is designed to detect and preserve hand-written sections within existing llms.txt files while updating the automated parts.

What is the llms.txt standard?

It is a standard format for providing a machine-readable summary of a project, making it easier for LLMs to understand its structure and features quickly.

Why is llms-full.txt sometimes not generated?

The skill skips llms-full.txt for large projects (over 50 files or 100KB) to ensure the file remains useful and doesn't exceed typical AI context limits.

How does this benefit my development workflow?

By providing a high-density map of your project, it allows AI tools like Claude Code to find relevant files and API definitions much faster.

LLM Documentation Generator

Name: LLM Documentation Generator
Author: mattbobambrose

bymattbobambrose

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학습 및 문서화

Generates standardized llms.txt files to make projects more discoverable and understandable for Large Language Models.

The LLM Documentation Generator automates the creation of llms.txt and llms-full.txt files according to the llms.txt standard, ensuring your project is optimized for AI consumption. It intelligently scans manifests like package.json or Cargo.toml, README files, and source code to build a structured map of your project's purpose, documentation, and key API entry points. By providing a concise, machine-readable overview, it helps AI coding assistants quickly grasp your project's structure and public surface without excessive token usage.

주요 기능

01Automated scanning of build manifests and source code for project metadata

02Intelligent merging that preserves hand-written documentation sections

03Standardized llms.txt creation following the official specification

04Support for multiple ecosystems including Node.js, Rust, Go, Python, and Java

05Conditional generation of llms-full.txt for smaller, self-contained projects

061 GitHub stars

사용 사례

01Creating a concise project map for context-window-limited LLMs

02Optimizing a repository for discovery and use by AI coding assistants

03Standardizing documentation across microservices for internal AI tooling

주요 기능

01Automated scanning of build manifests and source code for project metadata

02Intelligent merging that preserves hand-written documentation sections

03Standardized llms.txt creation following the official specification

04Support for multiple ecosystems including Node.js, Rust, Go, Python, and Java

05Conditional generation of llms-full.txt for smaller, self-contained projects

061 GitHub stars

사용 사례

01Creating a concise project map for context-window-limited LLMs

02Optimizing a repository for discovery and use by AI coding assistants

03Standardizing documentation across microservices for internal AI tooling