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jayhjenkins
jayhjenkinsCOMMUNITY
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meeting-synthesis

Extract actionable product signals from meeting transcripts with structured outputs.

1|2|Updated Dec 3, 2025
Search Tags:#data-driven#clustering#meeting-transcripts#product-planning#signal-extraction#epic-prioritization#customer-quotes
One-click install
npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill meeting-synthesis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meeting-synthesis
Source: https://github.com/jayhjenkins/ProductOSv0.2/tree/main/.claude/skills/context-assembly/meeting-synthesis
Command: npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill meeting-synthesis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the extraction of actionable product signals from meeting transcripts, identifying asks, pain points, quotes, and evidence across time windows with clear customer attribution.

Core Features & Use Cases

  • Signal extraction: detect feature requests, problems, onboarding friction, integrations, and performance signals from transcripts.
  • Cross-meeting clustering: group similar signals across customers to surface patterns for roadmapping and epic creation.
  • Evidence-ready outputs: preserve verbatim quotes and attach metadata (customer, date, meeting type, source).

Quick Start

Provide the path to a meeting transcript file (e.g., transcripts/meetings/customerA-2025-01-15.md) and request synthesis to produce clustered signals with quotes and supporting context for epic creation.

Frequently Asked Questions about meeting-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract actionable product signals from meeting transcripts?▼

Meeting signal extraction works by parsing transcript files with frontmatter metadata to detect asks, problems, and quotes. It processes customer meetings, internal reviews, and CS sessions to compile structured outputs compatible with downstream workflows.

How do I cluster customer quotes from multiple meetings for epic prioritization?▼

Cross-meeting clustering groups similar signals across customers to surface patterns for roadmapping. By analyzing transcripts over defined time windows, it compiles asks and problems with verbatim quotes to support epic prioritization.

Can I use markdown meeting transcripts to identify customer pain points and feature requests?▼

Yes, markdown meeting transcripts are supported through frontmatter-driven parsing and section-based extraction. It identifies feature requests, onboarding friction, integration asks, and performance signals while preserving customer attribution and dates.

What is the best way to automate product planning data extraction from customer meetings?▼

Automating product planning extraction involves processing meeting transcripts across defined time windows to detect asks and problems. It compiles verbatim quotes with customer and date metadata into structured outputs ready for epic creation.

Does meeting synthesis work with internal review and CS prep session transcripts?▼

Yes, it operates across customer meetings, internal reviews, and CS prep sessions. The Skill extracts asks, problems, and performance signals from all these transcript sources while attaching metadata like meeting type and date for context.

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