postmortem

Summarize your current context into a shortlist of reusable lessons by generating numbered long-term-memory candidates. You then review these postmortem candidates and select which specific items to keep before any durable write occurs.

Generate a numbered set of memory candidates from your current context and manually select which numbers to keep. This prevents automatic durable writes, ensuring you only save verified lessons from debugging or runbook improvements without overwriting existing knowledge.

Generating a postmortem recap does not automatically write to long-term memory. It produces a numbered list of candidates from the current context, and the user must explicitly select which numbers to keep before any durable memory is written.

Yes, you can identify and extract actionable lessons from runbook execution or visible rework to form a reusable knowledge set. This synthesizes your current context into a shortlist of long-term-memory candidates for selective retention.

Avoid generating a postmortem recap when explicit invocation is not intended or when the goal is not to synthesize numbered long-term-memory candidates. It requires explicit invocation and should not be used if immediate durable memory writing without selection is desired.