capstone-docs-operator

To keep markdown documentation and architecture diagrams in sync after code changes, run a documentation rebuild pipeline that regenerates formatting and visual assets, verifying updated outputs against latest specs. This automation executes scripts to refresh markdown docs and recreate diagrams.

Regenerate project architecture diagrams and evidence-pack artifacts when API contracts, specs, or engine code are updated, ensuring visual representations and supporting documentation remain consistent with the latest deployment design.

This documentation pipeline requires no external dependencies or components to run, utilizing internal Python scripts like fix_docs.py and generate_diagrams.py to rebuild markdown formatting, refresh architectural diagrams, and update evidence-pack artifacts.

Automate markdown formatting updates for a Python project by running dedicated documentation pipeline scripts that process markdown files, apply formatting fixes, and verify generated output files are current with the latest engine behavior.

Architecture diagrams become out of date after updating engine code because visual assets are not automatically regenerated during code changes, requiring a manual pipeline execution to recreate diagrams and confirm consistency with the latest design.

Yes, you can use this to rebuild documentation for TF4 Capstone maintenance tasks, as it specifically syncs markdown docs, regenerates diagrams, and updates evidence-pack artifacts through the fix_docs.py and generate_diagrams.py pipeline scripts.