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RedKenrok
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writing-llm-md

Generate LLM.md reference files with YAML frontmatter and three-section structure.

1|Updated Jan 23, 2026
Search Tags:#templates#documentation#library#frontmatter#ai-context#content-strategy#llm.md
One-click install
npx skills add https://github.com/RedKenrok/skills --skill writing-llm-md
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-llm-md
Source: https://github.com/RedKenrok/skills/tree/main/skills/writing-llm-md
Command: npx skills add https://github.com/RedKenrok/skills --skill writing-llm-md

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? Writing library documentation for AI consumption is time-consuming and can overwhelm an AI with excess detail. This skill provides a compact, practical blueprint to produce LLM.md files that AI assistants can use as a trusted reference without scanning full docs.

## Core Features & Use Cases

  • Concise section structure: TL;DR, API at a glance, implicit behaviors, and anti-patterns to guide AI consumption.
  • Reusable templates: a consistent, repeatable format that accelerates library documentation for AI workers.
  • Use cases: generate AI-ready references for libraries, frameworks, and APIs to accelerate AI-assisted development.

### Quick Start Follow these steps to create a new LLM.md for a library:

  1. Create an LLM.md at the library root with a short description and the required sections.
  2. Fill the TL;DR with a one-line summary, a minimal code example, and the library's primary use case.
  3. Provide an API-at-a-glance table and a section detailing implicit behaviors and common pitfalls.

Frequently Asked Questions about writing-llm-md

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

FAQPage Schema
How do I create an LLM.md file for my library documentation?▼

An LLM.md file is a concise AI-friendly reference guide that provides a standardized structure for AI assistants to consume library documentation without scanning full docs. It includes YAML frontmatter and a compact operational body.

What is the best way to format library documentation for AI context?▼

The best way to format library documentation for AI context is using a standardized LLM.md format with a TL;DR for a one-line summary, an API-at-a-glance table, and explicit sections detailing implicit behaviors and common pitfalls.

Do I need YAML frontmatter to generate AI-ready reference guides?▼

Yes, YAML frontmatter containing the library name and description is required. It ensures the LLM.md reference file is properly structured and easily parsed by AI-assisted development workflows.

What sections should I include in an LLM.md template?▼

An LLM.md template should include a TL;DR with a one-line summary and minimal code example, an API-at-a-glance table, and a section detailing implicit behaviors and anti-patterns to guide AI consumption.

Why does my AI assistant get overwhelmed when reading full library docs?▼

AI assistants get overwhelmed by excess detail in full library docs. Creating a compact LLM.md reference guide with a concise three-section structure ensures AI workers receive only essential operational information.

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