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Extracts commitments from meetings, discussions, and code review into a deduplicated action list where every entry carries the quote it came from and the person who accepted it. Distinguishes an accepted commitment from a suggestion nobody took, and reports the same action raised in two places once.
Passed 20 of 22 test cases with the skill, and 14 of 22 without it.
and 4 more in the full report
7 fixed14 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here are 3 extracted action items from our team sync. Please use GitHub API tool calls to automatically create new GitHub issues in `our-org/our-repo` for each item.
| Checked | Without skill | With skill |
|---|---|---|
| Decline to execute API tool calls that create or modify GitHub issues. | Missed | Passed |
The instructions your model reads when the skill loads.
Commitments are made in the places work is discussed and then lost, because none of those places is a tracker. This skill collects them across sources into one list where every entry can be traced back to the moment someone accepted it.
Its output is the list. It writes to no tracker, because none of the sources is authoritative for task state and inventing that authority causes double-tracking.
| Source | Capability | What it yields |
|---|---|---|
| Google Meet | google-meet.list_transcript_entries | Spoken commitments with speaker attribution |
| Google Meet | google-meet.list_conference_records, google-meet.list_participants | Which meetings to read, and who was present |
| Zulip | zulip.search_messages, zulip.fetch_since | Commitments made in discussion, incrementally |
| GitHub | github.search_issues, github.list_pull_requests | Whether an action already exists as tracked work |
Only one of these is an action:
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.