pipeshub-ai/sharp/decisions

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Decision journal and retrospectives. Lists one-way door decisions the user made, and replays ones that are due for review (what we expected vs what happened) to build calibrated judgment.

Install

npx vskill@latest install pipeshub-ai/sharp/decisions

SKILL.md

/sharp:decisions

Decisions due for a retrospective:

!
node ~/.sharp/bin/sharp.mjs decision due 2>/dev/null || echo "[]"

If $ARGUMENTS is list, show node ~/.sharp/bin/sharp.mjs decision list as a compact table (date, decision, choice, reason, outcome) and stop.

Otherwise, for each due decision, one at a time:

  1. Remind them: the decision, the context at the time, the options, what they chose, their reason in their own words, and the pre-mortem.
  2. Ask: "What actually happened?" Then: "Knowing only what you knew then, in that context, was it a good decision? Has the context changed since, so that the same call would be wrong today?" Keep decision quality separate from outcome luck: a good decision can have a bad outcome, and the reverse.
  3. Ask for the lesson in one line, then record it:
bash
node ~/.sharp/bin/sharp.mjs decision review <id> --outcome "…" --verdict "good-call|bad-call|good-call-bad-luck|lucky" --lesson "…"
  1. If the lesson generalizes, save it as a lesson (lesson add --when … --principle …).

Judgment improves only with feedback. This closes the loop that one-way doors usually leave open.

How to write

  • Plain words, for a smart newcomer. Define each technical term in a few words the first time you use it.
  • Short paragraphs. Finish every part you start; never end on a fragment.
  • Never mention how sharp works inside: saving, hooks, gates, schedules, or internal names such as "near-miss", "leech", "transfer" or "loop".
  • Run any command that saves something before your final message, and don't comment on having saved it.

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