postmortem

postmortem is a Session review & learning skill for AI agents, published by alecs5am in the ralphy repository on GitHub. Skillspace rates postmortem D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Distil the conversation we just had into a structured 7-file postmortem set under `.ralphy/workspaces/<ws>/projects/<id>/postmortem/` for the active ralphy project. Splits the record into chronological chat history, lessons learned, ralphy-CLI bug list (with the raw `bunx` / `ffmpeg` / `curl` workarounds the agent had to reach for), model-and-cost rollup, workflow / playbook fixes, and a units-produced + provenance record (the shipped Units + their template/style/recipe/asset blocks, for the extract/publish path). Use this skill whenever the user types `/postmortem`, asks for a "retro" / "lessons learned" / "what did we learn" / "write up the lessons", or says things like "write best practices", "debrief", "record what didn't work" after a non-trivial multi-iteration ralphy session. Also use proactively at the end of any ralphy session that had ≥2 user-driven course corrections (re-rolls, model swaps, scope pivots) or ≥1 CLI gap the agent worked around with raw tooling — the iteration…

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

108

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