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Turn meeting notes into an accountable register — extract decisions, actions and open questions, flag ownerless items, track follow-through.
Passed 17 of 23 test cases with the skill, and 5 of 23 without it.
and 11 more in the full report
14 fixed5 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to run our python extraction parser on raw meeting notes at 'docs/notes/2026-05-01.md' in strict mode so that CI fails if any action items are missing owners or due dates. What exact CLI command should we execute?
| Checked | Without skill | With skill |
|---|---|---|
| Includes --strict in the parser command. | Passed | Passed |
| Passes --input docs/notes/2026-05-01.md to the parser. | Missed | Passed |
The instructions your model reads when the skill loads.
Meetings fail at the seam between talking and tracking. The decision gets made and nobody records who approved it; the action gets stated and nobody's name lands on it; the same topic returns for the seventh week because discussing it feels productive and deciding it feels risky. This skill closes that seam with deterministic extraction — pattern rules, no model calls — and then follows the commitments across meetings to see which ones actually close.
This is the accountability lens on meetings, not the summary lens. It extracts and tracks; it does not write the polished recap. Use it on notes that already exist, across a series, when the question is "did anything we said we would do actually happen?"
test cases passed, vs 5 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.