Name: Llms Docs Fetcher
Author: KurzaCationer

This skill automates the discovery and local storage of llms.txt and llms-full.txt files.

Workflow

Extract URL: Identify the base URL from the user request or project dependencies.
Run Fetcher: Execute the fetcher script to check common locations.
Storage: Files are saved to a docs/ directory with a GEMINI.md index.

Proactive Discovery

When working on implementation tasks:

Missing Docs: If you are asked to implement a feature using a library (e.g., Panda CSS, Next.js) and no local documentation is found in docs/, proactively check if the library provides an llms.txt file at its root or /docs path.
Outdated Docs: If local documentation seems outdated, re-run the fetcher to refresh the specific host directory.

This skill automates the discovery and local storage of llms.txt and llms-full.txt files.

Extract URL: Identify the base URL from the user request or project dependencies.
Run Fetcher: Execute the fetcher script to check common locations.
Storage: Files are saved to a docs/ directory with a GEMINI.md index.

When working on implementation tasks:

Missing Docs: If you are asked to implement a feature using a library (e.g., Panda CSS, Next.js) and no local documentation is found in docs/, proactively check if the library provides an llms.txt file at its root or /docs path.
Outdated Docs: If local documentation seems outdated, re-run the fetcher to refresh the specific host directory.