vc-generate-closeout

Automate project closeout packet generation by using Python to process conversation context and git history. This produces a structured Markdown report detailing archive readiness, drift scores, and move-on state recommendations for completed project phases.

Drift signal scoring in project phase closeout evaluates the urgency of following the UPDATE PROCESS based on signals from actual project changes. It helps determine whether implementation accuracy deviates significantly from the original plan before archiving.

Classify archive readiness for a completed project phase by validating actual git changes against implementation accuracy and validation evidence. The system generates a structured Markdown report scoring the readiness for archiving.

Generating a closeout packet requires git history integration to validate actual changes made during the project phase. The Python-based system utilizes this git context alongside conversation data to produce accurate drift scores and commit checkpoint recommendations.

Use Python and pandas to recommend commit checkpoints by evaluating whether project changes are execution-related or process-related. The system processes session duration and complexity to suggest when to commit changes in a structured Markdown report.

The best way to determine the next state recommendation after project phase completion is to analyze conversation context and git history. The system outputs a move-on next-state suggestion identifying the single best next action or plan in a Markdown report.