meeting-ingestion

Parse meeting transcripts into brain pages with attendee enrichment and timeline merging.

Updated May 16, 2026

Search Tags:#backlinks #data-quality #attendees #meeting-ingestion #brain-pages #entity-propagation #timeline-merge

Ready to run

npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill meeting-ingestion-morris-utrust

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meeting-ingestion
Source: https://github.com/Morris-UTRUST/GBrain-knowledge/tree/main/skills/meeting-ingestion
Command: npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill meeting-ingestion-morris-utrust

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates turning meeting transcripts into structured brain pages, enriching attendees, and integrating timeline data to maintain a connected knowledge graph of people, companies, and topics.

Core Features & Use Cases

Phase-based ingestion: parse transcripts, create meeting pages, enrich attendees, propagate entities, and merge timelines across all mentioned pages.
Mandatory attendee enrichment and bidirectional linking ensure complete traceability and back-links.
Timeline integration across attendees, companies, and concepts to keep a coherent activity history.
Use Case: After a meeting, automatically produce a dedicated page with attendees and decisions, while creating or updating related people and company pages with contextual links.

Quick Start

Provide a meeting transcript to the agent and trigger the meeting-ingestion skill to create a meeting page with attendees and begin propagation.

Frequently Asked Questions about meeting-ingestion

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

FAQPage Schema

How do I automatically extract meeting attendees and decisions from a transcript?▼

Meeting transcript ingestion works by parsing the transcript to extract attendees, dates, and actions, then creating a dedicated brain page with bidirectional back-links to related people and company pages. It operates sequentially through phases: parse, create, enrich, propagate, and timeline-merge.

How do I create structured knowledge graph pages from meeting notes?▼

You can create a meeting page by providing a meeting transcript to the agent and triggering the meeting-ingestion skill. The skill then automatically parses the transcript, creates the dedicated brain page, enriches attendees, and begins entity propagation across your knowledge graph.

Does meeting ingestion support bidirectional linking and timeline integration?▼

Yes, meeting ingestion enforces mandatory attendee enrichment and bidirectional back-linking to ensure complete traceability across your knowledge graph. It also merges timeline data across all mentioned attendees, companies, and concepts to maintain a coherent activity history.

What is the best way to maintain a connected activity history for people and companies from meetings?▼

Meeting ingestion handles multiple attendees by enriching each person mentioned in the transcript and creating bidirectional back-links between the meeting page and their individual pages. It propagates entities and merges timelines across all pages to maintain a connected knowledge graph.

Are there prerequisites for automating meeting transcript ingestion into brain pages?▼

Meeting ingestion operates in deterministic phases: parse to extract data, create to generate the meeting page, enrich to enhance attendee data, propagate to spread entities, and timeline-merge to integrate activity history. This structured approach ensures complete traceability across the knowledge graph.