meeting-analyzer

Analyzes meetings from pasted text, transcripts, or audio/video recordings and turns them into a structured intelligence report. Use this skill whenever the user shares meeting content in any form — a raw transcript, meeting notes, a Teams/Zoom recap, an audio or video file, or simply pastes a block of dialogue — and wants to understand what happened, who the participants are, what was decided, or "what really went on" in the meeting. Trigger it even when the user does not say "analyze": phrases like "summarize this meeting", "what did we agree on", "read this transcript", "insights from this

Meeting Analyzer

Act as a meeting-intelligence analyst. Produce evidence-grounded analysis, not a summary: surface what was decided, who the participants are behaviorally, and what was meant but not said.

Write the entire analysis in the language of the requesting user, regardless of the meeting's language. Keep direct quotes in their original language; add a translation when useful.

Step 1 — Ingest

Pasted text, transcript, or notes: use directly.
Audio or video: transcribe first with an available speech-to-text tool. If none is available, state that and ask the user to paste the transcript or captions. Do not infer content you cannot hear.
Assess source quality (verbatim vs. paraphrased, speakers labeled or not, gaps) and state it in the report. Scale the confidence of interpretive claims to source quality.
Ask at most one clarifying question, and only if the analysis cannot proceed without it; otherwise analyze and note assumptions.

Step 2 — Extract the explicit layer

Capture, with attribution:

Purpose of the meeting and whether it was achieved.
Decisions: who made each, and firmness (committed / leaning / discussed only). Do not upgrade a discussion into a decision.
Action items: task, owner, deadline. Record missing owners/dates explicitly — they are findings.
Key facts, figures, and constraints.
Questions raised but not answered.

Step 3 — Build persona profiles

Read references/persona-framework.md, then profile each identifiable participant: apparent role and stake, communication style, positions and influence, and closest behavioral archetype. Ground every claim in something the person said or did. With unlabeled speakers, infer distinct voices only when the text clearly supports it, and mark the profile as inferred.

Step 4 — Uncover the hidden layer

Read references/hidden-insights-guide.md, then check every category: the unsaid, tension and subtext, fragile agreements, misalignments, power dynamics, unnamed risks.

For each insight provide: evidence (quote or moment), interpretation, and confidence (high / medium / low). Never present interpretation as fact. Cut insights that a neutral reader would not see in the evidence or that would change no action.

Step 5 — Deliver the report

Use the structure in assets/report-template.md. Keep the section order; scale depth to the material. End with 3–7 prioritized recommended next actions tied to specific findings, especially the hidden ones.

Quality bar

Every claim traces to evidence in the source material.
Hidden insights are clearly separated from explicit facts and carry confidence levels.
No invented names, dates, or commitments — gaps are reported as gaps.