meeting

Meeting transcript analysis extracts structured artifacts including decisions, action items, findings, and continuity signals from raw meeting data. By processing transcripts through interactive selection or batch sync, it turns unstructured meeting content into discoverable organizational memory.

Yes, batch sync and backfill modes process unprocessed or historical Granola meetings at scale. The skill retrieves transcripts via MCP tools and produces Enriched Artifact files and Meeting Intelligence Briefings for multiple meetings simultaneously.

Yes, MCP access to list_meetings and get_meeting_transcript tools is required. The skill uses these MCP tools to retrieve Granola meeting data for interactive selection, batch sync, search-driven processing, or historical backfill scenarios.

Optional Neo4j graph indexing via graph-batch.sh links artifacts across meetings for cross-meeting context and quest linking. This indexes decisions, findings, and action items into a graph structure, enabling continuity between sessions.

The skill analyzes transcript content to extract structured artifacts including decisions, findings, patterns, and continuity signals. Intent-harvesting prompts tailor the analysis depth and lens, producing Enriched Artifact files and a Meeting Intelligence Briefing.

Yes, search-driven processing mode allows querying processed meetings. Extracted artifacts are indexed as structured files and optionally in Neo4j, making decisions, action owners, and open questions discoverable across your organizational memory.