documentation-generator

To auto-generate Markdown documentation for Python modules, use a tool that analyzes active code to extract inputs, outputs, and parameters. This process builds comprehensive docs and writes them directly to a specified docs directory for review.

Code analysis for Python configuration documentation extracts module structure, docstrings, data flow, inputs, outputs, and configuration parameters. This extracted metadata is then compiled into a standardized, human-readable Markdown file.

Yes, you can generate formal documentation for Python classes without manual writing by analyzing the active code structure. The skill automatically extracts parameter metadata and configuration references to produce ready-to-share Markdown files.

To standardize Python project documentation for onboarding and audits, automatically generate consistent Markdown files from code structure and configuration parameters. This ensures every module follows the same documentation format for maintenance.

Automated Python documentation generation can work without external dependencies. The skill analyzes the currently active code to extract metadata and writes the final Markdown files directly to the project's docs directory.

Generated Markdown docs for Python scripts are saved under the path docs/rocks_extension/[module]/[script_name].md. This organizes the comprehensive documentation bundle by module for easy retrieval.