minutes-graph

Solid

Cross-meeting entity graph — query who/what/when across all your meetings as structured data, with co-occurrence and cross-entity queries that text search can't answer. Use whenever the user says "show me everyone who mentioned X", "every time we talked about Y", "who knows about Z", "graph", "across all meetings", "entity search", "first time we talked about", "trend for X over time", "who's been mentioned alongside", or wants to query meetings as an index rather than full-text search. Builds a JSON entity index on first run (one-time slow), then answers queries instantly. Surface this skill for relationship intelligence, due diligence, or any "across all my history" question that text search alone can't answer.

AI & Automation 1,233 stars 130 forks Updated today MIT

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Skill Content

## Skill Path Before running helper scripts or opening bundled references, set: ```bash export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.agents/skills/minutes" export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-graph" ``` # /minutes-graph Cross-meeting entity graph that lets you query your meeting history as structured data — **people and topics** out of the box, with companies and products as an opt-in deep-extraction path. Minutes already exposes `minutes people`, `minutes person`, and `minutes insights` for first-class entity queries. **Graph layers on top of those** to answer questions the CLI can't: - "What's the co-occurrence between Sarah and pricing?" - "First time the term 'X' appears in my history" - "Frequency trend for topic Y over the last 6 months" - "Who's been mentioned in the same meetings as Sarah?" - "What topics came up when we talked about hiring?" Defer to the existing CLI when it suffices. Use graph for the queries the CLI can't answer. Anything about companies or products requires opt-in deep extraction (see Phase 1). ## How it works Graph has two modes: **build** (creates the index) and **query** (uses it). ### Phase 0: Determine the user's intent If the user explicitly says "build" / "rebuild" / "refresh the graph" → Phase 1 (build mode). Otherwise → Phase 2 (query mode). Query mode auto-builds the index if it doesn't exist, and incrementally refreshes it if new meetings exist since the last build. **Detect company/prod...

Details

Author
silverstein
Repository
silverstein/minutes
Created
2 months ago
Last Updated
today
Language
Rust
License
MIT

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