Turns meeting transcripts into a queryable entity graph so you can ask questions text search can't answer: who's been mentioned alongside Sarah, first time pricing came up, co-occurrence between hiring and specific people. It builds a JSON index from meeting frontmatter (people, topics, dates) on first run, then queries are instant. The default path is fast and deterministic. If you need companies or products that aren't in frontmatter, there's an opt-in deep extraction mode that scans transcripts with an LLM pass. Useful for relationship intelligence, due diligence, or any cross-meeting question where you need structured data instead of grep. It layers on top of the existing minutes CLI for queries the CLI can't handle.
npx -y skills add silverstein/minutes --skill minutes-graph --agent claude-codeInstalls into .claude/skills of the current project.
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