Debrief

Use at the very end of a delivery run, after knowledge maintenance and the recorded outcome, to run the propose-only learning pass: reading the run's journal, identifying process-level friction (gates that never bite, questions the human answered repeatedly, rules that misfired, rework loops), and proposing Intelligence-Layer improvements — every proposal gated on explicit human approval, with a changelog entry on apply. This is the process_retrospective action — one Agent-tool dispatch with subagent_type debrief — it studies how the run went, never what it built, and it edits nothing itself.

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File contents

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Frequently asked questions

npx skillmds@latest add bhangeef16/debrief