build-loop:sync-skills

To detect skill drift, run the sync_skills.py script to monitor and report discrepancies between local build-loop skills and their canonical source files. It identifies changes in source files and reports any drift without modifying your local skills.

Code consistency drift detection in a build-loop architecture is the process of monitoring local skills against canonical source files to identify discrepancies. It ensures accuracy after updates by reporting which local skills need refreshing to match new sources.

You need to check for skill drift after updating canonical source files to determine which local build-loop skills have become inconsistent. Running a drift check identifies affected skills so you can manually refresh them to restore consistency.

No, source file monitoring does not automatically update local skills when drift is detected. The skill is strictly read-only and only reports discrepancies, requiring you to manually refresh the affected local skills to match the canonical source.

Yes, you can use the sync_skills.py Python script to monitor build-loop code consistency without dependencies. The script operates independently to check for changes in canonical source files and reports any detected drift.