documentation-guidelines

Enforce LLM-first documentation standards for structure, precision, and token efficiency.

Updated Dec 22, 2025
One-click install
npx skills add https://github.com/willyu1007/Template-Skill-Basic --skill documentation-guidelines-willyu1007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: documentation-guidelines
Source: https://github.com/willyu1007/Template-Skill-Basic/tree/main/.claude/skills/standards/documentation-guidelines
Command: npx skills add https://github.com/willyu1007/Template-Skill-Basic --skill documentation-guidelines-willyu1007

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures that all documentation adheres to LLM-first standards, optimizing for clarity, precision, and token efficiency.

Core Features & Use Cases

  • Standard Enforcement: Applies best practices for structure, semantic precision, and token efficiency.
  • Verification: Includes mechanisms for verifying documentation quality.
  • Use Case: When creating new documentation or reviewing existing content, this Skill guides the process to ensure it's easily understood and processed by LLMs.

Quick Start

Apply LLM-first documentation standards to the provided document.

Frequently Asked Questions about documentation-guidelines

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

FAQPage Schema
What are LLM-first documentation standards?

LLM-first documentation standards optimize content structure, semantic precision, and token efficiency to ensure optimal LLM comprehension and processing during creation and review.

How do I verify documentation quality for LLM processing?

You verify documentation quality by applying defined guidelines that check structure, semantic precision, token efficiency, and verification mechanisms to ensure optimal LLM comprehension.

What is the best way to optimize existing documentation for token efficiency?

The best way to optimize existing documentation for token efficiency is reviewing content against LLM-first standards, focusing on semantic precision and structural clarity to reduce processing overhead.

When do I need to apply LLM-first documentation standards?

You need to apply LLM-first documentation standards when creating new project documentation or reviewing existing content to ensure it is easily understood and processed by LLMs.

Does this documentation review process require external dependencies?

No, this documentation review process requires no external dependencies, allowing you to enforce content quality and semantic precision guidelines directly within your current environment.

Why does my documentation fail to process correctly in LLM workflows?

Documentation fails to process correctly in LLM workflows when it lacks semantic precision, proper structure, and token efficiency, preventing optimal LLM comprehension and processing accuracy.