Automatically generate high-quality Google Style Python docstrings using AST parsing and LLM intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-doc-ai
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install auto-doc-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Auto Doc AI?
Auto Doc AI is a specialized developer tool designed to automate the tedious process of writing Python documentation. By combining Abstract Syntax Tree (AST) analysis with Large Language Models, it intelligently scans your code to produce professional Google Style docstrings. This Openclaw Skills extension ensures that functions, classes, and methods are consistently documented, making codebases easier to navigate and maintain for teams of all sizes.
The tool is built for accuracy, ensuring that arguments, return types, and exceptions are correctly identified and described. Whether you are cleaning up a legacy project or maintaining a fast-moving repository, this skill provides the automation needed to keep your documentation in sync with your logic.
Auto Doc AI Use Cases
- Standardizing documentation across large Python repositories using Openclaw Skills.
- Automatically generating docstrings for legacy codebases that lack documentation.
- Ensuring every function and method follows the Google Style guide for better readability.
- Rapidly documenting new modules during the development lifecycle to improve peer review quality.
How Auto Doc AI Works
- The skill parses the target Python source code into an Abstract Syntax Tree to identify classes, methods, and functions.
- It extracts structural information including function signatures, argument names, and default values.
- The skill identifies blocks where documentation is missing or requires an update.
- Contextual data is processed via an LLM to generate descriptive summaries and detailed technical sections.
- The tool formats the output into a compliant Google Style docstring and inserts it directly into the source file.
Auto Doc AI Setup
To start using this tool within the Openclaw Skills framework, ensure your environment is running Python 3.7 or higher. Use the following commands to process your files:
# Generate documentation for a single file
/generate-docs /path/to/your_script.py
# Process an entire directory recursively
/generate-docs /path/to/src/ --recursive
Auto Doc AI Data Schema & Taxonomy
The skill organizes and generates data based on the following structural taxonomy:
| Attribute | Description |
|---|---|
| Format | Google Style Docstring (Args, Returns, Raises) |
| Parsing Engine | AST (Abstract Syntax Tree) for Python 3.7+ |
| Target Elements | Modules, Classes, Functions, and Methods |
| Processing Modes | Single file, Recursive directory, Dry-run, and Overwrite |
Auto Doc AI Advanced Features
- Recursive Processing: Scan entire project structures to apply documentation standards globally.
- Incremental Updates: Skip functions that already have docstrings to preserve manual edits and optimize performance.
- Overwrite Capability: Use the --overwrite flag to force refresh existing documentation with new AI-generated content.
- Preview Mode: Utilize the --dry-run flag to see proposed changes in the console without modifying source files.
- Multi-Agent Compatibility: Integrates seamlessly with other Openclaw Skills for comprehensive code analysis.
SKILL.md
Loading
Related Openclaw Skills
Professional Chinese Writing Assistant
A professional Chinese writing assistant specialized in article rewriting, style imitation, and multi-platform copy optimization.
MeetingPrep Auto-Generate Meeting Briefs
MeetingPrep is an intelligent automation tool that synthesizes calendar events and local files into comprehensive, actionable meeting briefs.
3-Tier Auto-Backup: Daily Snapshots & Disaster Recovery
A multi-layered disaster recovery solution providing daily timestamped snapshots, secondary drive mirroring, and emergency chat export functionality.
Inter-Agent Protocol
A rigorous inter-agent communication framework that defines how C-suite AI roles collaborate, invoke each other, and verify data without circular logic.
Daily News Skill
A sophisticated news retrieval skill that enables AI agents to fetch, filter, and summarize daily news reports and high-heat articles via API.
git-standup
A powerful automation tool for Openclaw Skills that analyzes Git history to generate structured daily and weekly work reports.
Featured*
