ai-first

Standardize repository documentation into context-format Markdown with LEGEND.md and token references.

Updated Aug 23, 2026

Search Tags:#code quality #developer tools #documentation #markdown #ai #standardization

Ready to run

npx skills add https://github.com/AmirTlinov/magray-marketplace --skill ai-first

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-first
Source: https://github.com/AmirTlinov/magray-marketplace/tree/main/flagship-team/skills/ai-first
Command: npx skills add https://github.com/AmirTlinov/magray-marketplace --skill ai-first

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes repository documentation into a consistent, machine-readable format, improving discoverability and usability for both humans and AI agents.

Core Features & Use Cases

Documentation Standardization: Enforces a uniform structure for project documentation.
AI-Agent Compatibility: Formats documentation for easy consumption by AI agents.
Use Case: Ensure all your project's documentation, from API references to user guides, adheres to a strict LEGEND/CONTENT format, making it easy for an AI to understand and utilize the information.

Quick Start

Use the ai-first skill to standardize the documentation in the current repository.

Frequently Asked Questions about ai-first

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

FAQPage Schema

How do I standardize repository documentation for AI agent consumption?▼

AI documentation standardization applies a LEGEND/CONTENT format with deterministic gates and token resolution rules to enforce a uniform structure. This makes project documentation easily discoverable and usable for both humans and AI agents.

What is the best way to format markdown documentation for AI code generation tools?▼

The best way to format markdown for AI tools is to apply a strict LEGEND/CONTENT format with a global standard library defined in LEGEND.md. This ensures consistent documentation structure and deterministic token resolution for AI agent interaction.

How do I set up deterministic gates for repository documentation standardization?▼

Set up deterministic gates by applying token resolution rules and defining a global standard library within a LEGEND.md file. This process standardizes repository documentation into machine-readable Markdown for consistent AI and human interaction.

Can I use this documentation standardization approach for existing software project repositories?▼

Yes, you can standardize documentation for existing software projects requiring consistent documentation. The process enforces a uniform LEGEND/CONTENT structure across all project files, making existing API references and user guides easily consumable by AI agents.

What are the limitations of using a LEGEND.md file for AI documentation standardization?▼

Using a LEGEND.md file for AI documentation standardization requires strict adherence to token resolution rules and a global standard library. Projects must conform to this deterministic LEGEND/CONTENT format, which may require restructuring existing non-standard markdown files.