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.