documentation-guidelines

Generate backend module documentation with architecture diagrams, endpoints, payloads, and seeding instructions.

63|20|Updated Dec 20, 2025
One-click install
npx skills add https://github.com/thienanblog/awesome-ai-agent-skills --skill documentation-guidelines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: documentation-guidelines
Source: https://github.com/thienanblog/awesome-ai-agent-skills/tree/main/skills/documentation-guidelines
Command: npx skills add https://github.com/thienanblog/awesome-ai-agent-skills --skill documentation-guidelines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Documentation for backend modules is often inconsistent, scattered across projects, and hard for developers and AI agents to trust. This guide provides a single canonical set of rules and templates to ensure backend docs stay aligned with repository guidelines, including architecture diagrams, API contracts, and seeding instructions.

Core Features & Use Cases

  • Generates or updates module docs to match the repository's DOCUMENTATION_GUIDELINES.md.
  • Ensures inclusion of architecture diagrams (Mermaid ERD/flowcharts), endpoints, payloads, data models, services, and provider details.
  • Enables consistent documentation across projects for backend developers, frontend teams, and AI agents.

Quick Start

Create or update the module documentation for the target repository following its DOCUMENTATION_GUIDELINES.md.

Frequently Asked Questions about documentation-guidelines

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

FAQPage Schema
What is the best way to create consistent backend documentation across multiple projects?

To generate consistent backend documentation, use a canonical template that aligns with repository guidelines, ensuring architecture diagrams, API endpoints, payloads, and seeding instructions remain standardized across multiple projects.

How do I document backend architecture and API endpoints for developers and AI agents?

Document backend architecture and endpoints by generating a comprehensive module that includes Mermaid ERDs, flowcharts, data models, services, and payload constraints. This provides a single source of truth for both developers and AI agents.

Does this documentation approach support Mermaid diagrams for visualizing data models and flowcharts?

Yes, this documentation approach supports Mermaid diagrams. The generation process explicitly ensures the inclusion of Mermaid ERDs and flowcharts to visualize backend architecture, data models, and service flows effectively.

How do I include database seeding instructions in my API documentation?

Include database seeding instructions by adding them to the generated backend documentation module. This ensures developers and AI agents understand the specific procedures and constraints required to populate initial data.

Can I use this to document controllers, models, and services for frontend teams?

Yes, you can document controllers, models, and services for frontend teams. The generated documentation organizes these components alongside API contracts and deployment notes, enabling consistent cross-project understanding for API consumers.