documentation-templates

Provides templates and structure guidelines for README, API docs, changelogs, and AI-friendly documentation.

41|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/DevayoshaUS/Women-scholarship --skill documentation-templates-devayoshaus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: documentation-templates
Source: https://github.com/DevayoshaUS/Women-scholarship/tree/main/hackathon-main%20%281%29/hackathon-main/.agent/skills/documentation-templates
Command: npx skills add https://github.com/DevayoshaUS/Women-scholarship --skill documentation-templates-devayoshaus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing consistent, well-structured project documentation is time-consuming, and teams often produce inconsistent READMEs, API references, and changelogs that confuse users and AI tools alike. ## Core Features & Use Cases - README and API Templates: Ready-made structures for README files, per-endpoint API documentation, and configuration tables. - Code Comment and Changelog Guidelines: JSDoc/TSDoc comment conventions plus Keep a Changelog and Architecture Decision Record (ADR) formats. - AI-Friendly Documentation: llms.txt templates and MCP-ready structuring guidance for RAG indexing and AI crawlers. - Use Case: When starting a new open-source project, use this Skill to generate a complete README with quick start, features, and configuration sections, then add an llms.txt so AI agents can navigate the repository. ## Quick Start Ask the AI to generate a README for your project following the documentation templates structure.

Frequently Asked Questions about documentation-templates

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

FAQPage Schema
How do I write a good README for my project?▼

A good README starts with a title and one-line description, followed by a quick start section runnable in under five minutes. Then add features, configuration tables, links to detailed docs, contributing guidelines, and license information.

What sections should API documentation include per endpoint?▼

Each endpoint should document the HTTP method and path, a brief description, a parameters table with name, type, required status, and description, possible response codes, and a concrete request/response example.

What is an llms.txt file and do I need one?▼

An llms.txt file is a Markdown file that helps AI crawlers and agents understand your project, containing a one-line objective, core file listings, and key concepts. Add one if you want AI tools to navigate your repository accurately.

When should I write code comments versus avoid them?▼

Comment the why behind business logic, complex algorithms, non-obvious behavior, and API contracts. Avoid commenting obvious code, every line, self-explanatory statements, or implementation details that the code already expresses.

How do I structure an Architecture Decision Record?▼

An ADR contains four sections: Status (Accepted, Deprecated, or Superseded), Context explaining why the decision is needed, Decision describing what was chosen, and Consequences listing the trade-offs.