One-click install
npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-llms-jangtrinh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:llms
Source: https://github.com/jangtrinh/demo-Lam/tree/main/.claude/skills/llms
Command: npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-llms-jangtrinh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns scattered project documentation into a single, LLM-friendly index that improves how AI systems discover and summarize your docs.

Core Features & Use Cases

  • Documentation scanning: Discovers Markdown files in a docs directory (or a specified path) and extracts titles and summaries.
  • LLM-friendly indexing: Generates llms.txt for compact context use and llms-full.txt for expanded, inline content.
  • Structured organization: Categorizes docs (e.g., Guides, API Reference, Optional) to keep context efficient and usable.

Use Case: If you maintain a codebase with many docs pages, you can generate llms.txt so assistants can quickly find the right sections without reading the entire site.

Quick Start

Ask the Skill to scan your docs folder and produce llms.txt by providing the command: ck:llms ./docs --output . --url https://example.com/docs.

Frequently Asked Questions about ck:llms

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

FAQPage Schema
What is an llms.txt file and why do I need it for my documentation?

An llms.txt file is an LLM-friendly site index that improves AI discoverability by summarizing Markdown documentation. You need it to help AI assistants quickly locate relevant context without scanning your entire codebase.

How do I generate llms.txt from my Markdown documentation directory?

To generate llms.txt from a Markdown documentation directory, run ck:llms ./docs --output . --url https://example.com/docs. The Skill scans local docs directories, extracting H1 titles and summaries to categorize results into H2 sections.

Can I use llms.txt to index remote documentation structures via URL?

Yes, you can index remote documentation structures via URL. The generation process supports local scanning of docs directories and URL-based documentation structure retrieval to produce AI discoverability and context files.

What is the difference between llms.txt and llms-full.txt for AI context?

The difference between llms.txt and llms-full.txt is context size. llms.txt provides a compact index using concise descriptions, while llms-full.txt expands context by optionally inlining full Markdown content.

Does the generated llms.txt output comply with the llmstxt.org format?

Yes, the generated llms.txt output complies with the llmstxt.org format. The Skill validates the final output against this standard after extracting documentation summaries and categorizing them into structured H2 sections.