Reflect on the current session and propose polish/tweaks/fixes for a named skill, grounded in evidence from this conversation. Use when wrapping up a session that exercised a skill — to capture what worked, what should be fixed, and what adjacent skills were missing. Sibling to skill-conventions, but session-scoped instead of corpus-scoped.
Install
npx skillscat add igor1309/ai-labs/postmortem Install via the SkillsCat registry.
Postmortem
Based on this session, what is your take on $ARGUMENTS — does it need some polish/tweaks/fixes? What other skills might it be worth adding/tweaking?
If $ARGUMENTS is empty, ask the user which skill(s) to review before proceeding.
Ground every observation in something that actually happened in this session: a place the skill helped, a place it should have helped but didn't, a place it gave wrong guidance, or a gap you had to work around. Do not invent generic "best practice" suggestions.
Structure the response as:
- Verdict — one line: solid as-is / needs polish / needs fixes / needs redesign.
- What worked — concrete moments the skill earned its keep.
- What to polish/fix — specific edits (file:line if known), with the session evidence that motivates each.
- Adjacent skills worth adding or tweaking — only if a real gap surfaced in this session. Name the skill, the gap, and the trigger that should invoke it.
Be terse. No filler, no hedging, no "great question."