What is the 'Design-First' approach used by this skill?

It encourages writing documentation before implementation, using those docs as a blueprint for test cases and code development in a TDD-like workflow.

How does this skill enforce documentation?

It uses structural requirements validated via pre-commit linting scripts to ensure every folder and source file has corresponding documentation before code is committed.

Which programming languages are supported for interface docs?

The skill currently enforces documentation for Python (.py) and C/C++ (.c, .cpp, .cxx, .cc) source files through companion Markdown files.

Can I commit code if my documentation is temporarily incomplete?

Yes, during incremental development milestones, you can use the --no-verify flag to bypass linting, though final deliveries require full consistency.

Code Documentation Standards

Name: Code Documentation Standards
Author: Synthesys-Lab

bySynthesys-Lab

•

学习与文档

Enforces comprehensive documentation standards across folders, source code interfaces, and architectural designs using AI-driven guidance.

This skill provides a structured framework for maintaining high-quality documentation throughout the development lifecycle, ensuring that AI agents adhere to specific standards for folder READMEs, interface documentation, and high-level design docs. By integrating structural requirements with pre-commit linting, it facilitates a design-first development workflow where documentation is treated as a first-class citizen. It is particularly useful for teams using Test-Driven Development (TDD) and those who want to ensure their codebase remains self-descriptive and easy to navigate for both human developers and AI agents.

主要功能

01Mandatory folder README enforcement for architectural clarity

0237 GitHub stars

03Design-first workflow integration for TDD-aligned development

04Support for incremental documentation updates via milestone bypasses

05Structural linting to validate documentation completeness before commits

06Companion .md file generation for Python and C/C++ source code interfaces

使用场景

01Maintaining consistency between source code interfaces and their public API descriptions

02Automating architectural design doc creation during the planning phase

03Standardizing documentation across large polyglot codebases containing Python and C/C++

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add synthesys-lab/agentize document-guideline

For use in Claude.ai and ChatGPT

Download Skill