update-llms

Update the repository root llms.txt file to reflect current documentation.

Updated Nov 21, 2025
One-click install
npx skills add https://github.com/lluppesms/dadabase.demo --skill update-llms-lluppesms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: update-llms
Source: https://github.com/lluppesms/dadabase.demo/tree/main/.github/skills/update-llms
Command: npx skills add https://github.com/lluppesms/dadabase.demo --skill update-llms-lluppesms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that the llms.txt file, which guides Large Language Models, accurately reflects the current state of the repository's documentation and structure, preventing outdated information from misleading AI assistants.

Core Features & Use Cases

  • Automated Documentation Indexing: Updates a central file (llms.txt) that maps LLMs to relevant repository content.
  • Specification Compliance: Adheres to the llmstxt.org specification for file structure and content.
  • Use Case: After adding new API documentation and refactoring the /docs directory, this Skill can be run to update llms.txt, ensuring that any AI querying the repository for API details can find the correct, up-to-date information.

Quick Start

Run the update-llms skill to refresh the llms.txt file in the repository root.

Frequently Asked Questions about update-llms

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

FAQPage Schema
How do I update the llms.txt file to reflect new repository documentation?

To update the llms.txt file, run an automated indexing process that analyzes the repository structure, identifies new or changed documentation, and formats file references for both machine and human readability.

What is the llmstxt.org specification for LLM navigation?

The llmstxt.org specification defines the file structure and content mapping required for the llms.txt file to accurately guide Large Language Models to relevant repository content without relying on outdated information.

Why does my AI assistant return outdated API details after refactoring the docs directory?

AI assistants return outdated API details when the llms.txt file is not updated to reflect repository changes. Running an automated documentation indexing process refreshes the file references to ensure compliance and accuracy.

Can I use automated documentation indexing for specification compliance in any repository?

Yes, automated documentation indexing can be used in any repository to analyze its structure, identify changes, and format file references in the root llms.txt file according to the llmstxt.org specification.

When do I need to refresh the llms.txt file in my repository root?

You need to refresh the llms.txt file whenever you add new API documentation or refactor directories, ensuring that any AI querying the repository finds correct, up-to-date information mapped accurately.