documentation-templates

Provide templates and guidelines for READMEs, API docs, and changelogs.

Updated Nov 12, 2025
One-click install
npx skills add https://github.com/jabez4jc/Simplifyed --skill documentation-templates-jabez4jc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: documentation-templates
Source: https://github.com/jabez4jc/Simplifyed/tree/main/.agent/skills/documentation-templates
Command: npx skills add https://github.com/jabez4jc/Simplifyed --skill documentation-templates-jabez4jc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides standardized templates and guidelines for creating comprehensive and AI-friendly documentation, ensuring consistency and clarity across projects.

Core Features & Use Cases

  • Standardized Templates: Offers pre-defined structures for READMEs, API docs, code comments, changelogs, and Architecture Decision Records (ADRs).
  • AI-Friendly Format: Includes guidance on creating documentation optimized for AI crawlers and RAG systems.
  • Use Case: A new developer joins a project and needs to understand how to document new features; they can use these templates to quickly create consistent and informative documentation.

Quick Start

Use the documentation-templates skill to generate a README structure for a new project.

Frequently Asked Questions about documentation-templates

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

FAQPage Schema
How do I create an AI-friendly README for my project?▼

To create an AI-friendly README, use standardized templates that provide scannable, example-driven, and progressively detailed content optimized for both human readability and AI processing systems.

What is an Architecture Decision Record and when do I need one?▼

An Architecture Decision Record (ADR) documents important architectural choices. You need an ADR when making significant structural decisions to ensure consistent, informative, and scannable documentation across your project.

How do I write code comments that are optimized for RAG systems?▼

Writing code comments for RAG systems involves using standardized templates and structural guidelines to create scannable, example-driven content that is progressively detailed and optimized for AI processing.

What is the best way to structure API documentation for both humans and AI crawlers?▼

The best way to structure API documentation is using pre-defined templates that focus on example-driven, progressively detailed content, ensuring clarity for humans while remaining optimized for AI crawlers.

Does this documentation approach support the llms.txt format?▼

Yes, this documentation approach supports AI-friendly formats like llms.txt, providing structural guidelines to create documentation that is specifically optimized for AI crawlers and RAG-ready systems.

Can I use these templates for generating changelogs and code comments?▼

Yes, you can use these templates for generating changelogs and code comments, as they offer pre-defined structures and guidelines to quickly create consistent and informative documentation across various types.