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Process meeting recordings and notes into structured decisions, action items, and team dynamics with intelligent noise filtering
Passed 17 of 23 test cases with the skill, and 15 of 23 without it.
and 1 more in the full report
4 fixed14 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
What step in the content filtering protocol is responsible for detecting contradictory participant assertions?
| Checked | Without skill | With skill |
|---|---|---|
| Step 3 Accuracy Verification cross-checks contradictory statements and flags potential errors. | Missed | Passed |
The instructions your model reads when the skill loads.
Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:
agent_mode: team — use the full parallel agent execution strategy below (3 agents)agent_mode: solo — process sequentially: extract content first, then analyze dynamics, then enrich with context.Extract strategic insights from meeting recordings and notes with intelligent content filtering to focus on substantive, actionable content while removing noise and irrelevant information.
/meeting-transcriptUse parallel agents to process different aspects of the transcript simultaneously.
Launch ALL agents in a single message using Task tool with run_in_background: true:
Extract structured content from the meeting transcript.
1. Filter out side chats, technical difficulties, and irrelevant banter
2. Identify and extract: decisions made (with rationale), action items (with owners/deadlines), strategic themes
3. Capture key quotes and insights from participants
4. Note unresolved issues and follow-up needs
test cases passed, vs 15 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.