mdf-md-api-docs-majo

Generate MDF-style Markdown API references from Python code.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/markjoshwel/skills --skill mdf-md-api-docs-majo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mdf-md-api-docs-majo
Source: https://github.com/markjoshwel/skills/tree/main/mdf-md-api-docs-majo
Command: npx skills add https://github.com/markjoshwel/skills --skill mdf-md-api-docs-majo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MDF-style API documentation is hard to produce consistently from code; this skill standardizes how API references are produced from code using the meadow Docstring Format (MDF), ensuring consistency across projects.

Core Features & Use Cases

  • MDF-style templates for function and class documentation
  • Automatic headers, signatures, and usage examples following MDF conventions
  • Suitable for generating documentation in READMEs, wikis, or docs sites
  • Use cases include documenting Python libraries and modules with consistent formatting

Quick Start

Run the MDF API docs workflow on your Python project to generate Markdown API references.

Frequently Asked Questions about mdf-md-api-docs-majo

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

FAQPage Schema
How do I generate Markdown API documentation from Python code?

Generate Markdown API documentation from Python code by running a workflow that applies the Meadow Docstring Format (MDF) to parse modules and output standardized headers, signatures, and usage examples. This skill automates that process for consistent references.

What is MDF style for API docs?

MDF style for API docs is the Meadow Docstring Format, a standardized convention ensuring consistent Markdown outputs for Python libraries. It enforces specific headers, signature blocks, arguments, returns, raises sections, and usage examples for readable documentation.

Does this API documentation generator work with Python libraries and modules?

Yes, this API documentation generator works with Python libraries and modules. It is specifically designed for Python projects needing readable, standardized Markdown API docs suitable for READMEs, wikis, and documentation sites.

What's the best way to standardize Python API references in Markdown?

The best way to standardize Python API references in Markdown is applying MDF-style templates that automatically generate headers, signatures, arguments, returns, raises sections, and usage examples. This ensures formatting consistency across multiple projects.

What sections are included in MDF-compliant API documentation?

MDF-compliant API documentation includes standardized headers, signature blocks, arguments, returns, raises sections, and usage examples. It also performs formatting validation to ensure the generated Markdown meets MDF conventions for Python code references.