Verified:GitHub

meeting-ingestion

Ingest meeting transcripts into brain pages with attendee enrichment and timeline integration.

1|Updated May 12, 2026

Search Tags:#knowledge-graph #attendee-enrichment #meeting-ingestion #entity-propagation #timeline-merge #transcript-ingestion

Ready to run

npx skills add https://github.com/ltdrew/Agent-brain-2 --skill meeting-ingestion-ltdrew

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meeting-ingestion
Source: https://github.com/ltdrew/Agent-brain-2/tree/main/skills/meeting-ingestion
Command: npx skills add https://github.com/ltdrew/Agent-brain-2 --skill meeting-ingestion-ltdrew

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ingest meeting transcripts into brain pages with attendee enrichment, entity propagation, and timeline merge. A meeting isn't fully ingested until enrich runs for every entity.

Core Features & Use Cases

Parse transcripts to extract attendees, date, duration, topics, decisions, and actions.
Create a structured meeting page with backlinks and timeline entries across all mentioned entities.
Enrich attendees and propagate entities (companies/projects) with mandatory linking and timeline updates.
Merge timelines across attendees and entities to maintain a consistent knowledge graph.
Sync the brain index to reflect the latest meeting data.

Quick Start

Ingest a transcript by running the meeting-ingestion workflow on the transcript to produce a linked meeting page with attendee and entity context.

Frequently Asked Questions about meeting-ingestion

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

FAQPage Schema

How do I ingest meeting transcripts into a knowledge graph with attendee enrichment?▼

Meeting ingestion automates transcript parsing to create brain pages with mandatory attendee enrichment and entity propagation. It extracts attendees, dates, decisions, and actions, then merges timelines and syncs the brain index with bidirectional backlinks.

How do I automatically create timeline entries and backlinks across meeting entities?▼

Timeline entries and cross-entity backlinks are generated by ingesting meeting transcripts to extract topics and actions. The workflow links all mentioned entities and merges timelines to maintain a consistent knowledge graph with bidirectional synchronization.

Can I use meeting-ingestion for call transcripts and unstructured meeting notes?▼

Yes, meeting-ingestion applies to transcripts from meetings, calls, and notes. It parses text to extract attendees, duration, topics, decisions, and actions, then creates structured pages with timeline integration and entity propagation.

What's the best way to propagate companies and projects mentioned in a meeting transcript?▼

Entity propagation for companies and projects is handled during meeting transcript ingestion. The workflow enriches attendees, propagates mentioned entities with mandatory linking, and updates timelines across the knowledge graph with bidirectional backlinks.

Why does a meeting transcript need attendee enrichment and entity propagation to be fully ingested?▼

A meeting is not fully ingested until enrich runs for every entity. Attendee enrichment and entity propagation ensure mandatory linking, timeline merges, and bidirectional backlinks with synchronization across the knowledge graph.