documentation

Generate and validate Google-style docstrings for Python source files and manage changelogs.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/alangeb/tau --skill documentation-alangeb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: documentation
Source: https://github.com/alangeb/tau/tree/main/src/skills/documentation
Command: npx skills add https://github.com/alangeb/tau --skill documentation-alangeb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the inconsistency and lack of structure in technical documentation, ensuring that codebases remain maintainable and readable through standardized docstrings and changelogs.

Core Features & Use Cases

  • Automated Docstring Generation: Creates Google-style docstrings for Python functions to ensure consistent API documentation.
  • Validation: Scans source code to identify functions missing proper documentation.
  • Changelog Management: Provides a structured template for tracking project history and versioning.
  • Use Case: Use this skill to audit a new module for missing docstrings and generate a standardized changelog entry for your latest release.

Quick Start

Run the documentation helper on your target file by executing the doc_helper script with the path to your python file as an argument.

Frequently Asked Questions about documentation

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

FAQPage Schema
How do I generate Google-style docstrings for Python functions automatically?

Generate Google-style docstrings for Python functions by running the documentation helper script with the target Python file path as an argument. The script parses function definitions using standard regex modules and creates standardized API documentation.

How do I validate Python source code for missing docstrings?

Validate Python source code for missing docstrings by scanning the target file to identify functions lacking proper documentation. The script parses function definitions and verifies docstring presence to enforce documentation coverage across your project.

What is the best way to maintain a structured changelog for a Python project?

Maintain a structured changelog for a Python project using the provided changelog management template. This standardizes project history tracking and versioning, ensuring your release notes remain consistent and readable across development cycles.

Do I need external dependencies to audit Python documentation coverage?

No external dependencies are required to audit Python documentation coverage. The skill operates using standard Python library regex modules to parse function definitions and verify docstring presence without installing additional packages.

Can I use this documentation standardization tool for non-Python codebases?

This documentation standardization tool is designed specifically for Python source files. It parses Python function definitions to enforce Google-style docstring formatting and documentation coverage, meaning it is not suitable for non-Python codebases.