Agent skill · writing content · borghei
meeting-insights
Analyze meeting transcripts to extract decisions, action items, owners, due dates, open questions, and risks. Use after recorded meetings, sales calls, customer interviews, or planning sessions, or to build a decision log.
Why this skill is useful
Adds a Python script that extracts structured insights from meeting transcripts, which the AI wouldn't reliably generate on its own.
What it needs
Requires python installed locally. About 3k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Meeting Insights Turn raw meeting transcripts into a structured set of decisions, action items, owners, due dates, open questions, and risks. --- Table of Contents Keywords Quick Start Core Workflows Tools Reference Guides Templates Best Practices --- Keywords meeting, meetings, transcript, notes, minutes, action items, decisions, decision log, follow-up, recap, sales call, customer interview, retrospective, standup, planning, async --- Clarify First Before extracting insights, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Transcript with speaker labels — Speaker: text format drives owner attribution on action items [ ] Meeting type — recap vs customer interview vs decision log changes which extractions matter (decisions/actions vs pains/quotes) [ ] Output target — recap email, append-only decision log, or interview synthesis sets the structure of the deliverable Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. --- Quick Start Process a Transcript in 5 Minutes 1. Save your transcript text as transcript.txt (one speaker turn per line, format Speaker: text) 2. Run: 3. Review the structured output: decisions, action items, owners, due dates, open questions 4. Drop into assets/recaptemplate.md to send a follow-up --- Core Workflows Workflow 1: Post-Meeting Recap Goal: Convert a 60-minute conversation into a 90-second readable summary that everyone can act on. Steps: 1. Export the transcript (Otter, Fireflies, Zoom, Google Meet, etc.) 2. Run: python scripts/transcriptanalyzer.py transcript.txt 3. Verify owners and due dates — the analyzer is heuristic; humans correct 4. Paste structured output into assets/recaptemplate.md 5. Send within 24 hours of the meeting Expected Output: Recap with decisions, action items (owner + due date), open questions, and risks. Time Estimate: 5-10 minutes vs. 30+ for manual note review. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/meeting-insights