Search meeting transcripts and memos for topics, people, and decisions.
npx skills add https://github.com/silverstein/minutes --skill minutes-search
Please help me install this Agent Skill. Skill: minutes-search Source: https://github.com/silverstein/minutes/tree/main/tooling/skills/sources/minutes-search Command: npx skills add https://github.com/silverstein/minutes --skill minutes-search
Quickly locate topics, decisions, speaker statements, and ideas buried in past meeting transcripts and voice memos so users don't have to manually scan long recordings or notes to recover commitments and context.
Search your meetings for "pricing strategy" by asking the assistant to run minutes search "pricing strategy".
High-intent search queries and answers about installing and using this skill.
To search meeting transcripts, perform case-insensitive substring matching across local markdown files and memos. The search returns structured JSON results containing the title, date, content type, snippet, and file path for quick reference.
Yes, you can filter transcript searches by content type (meeting or memo), ISO date ranges, and result limits. This narrows results to specific timeframes or formats, making it easier to locate targeted information.
Finding who said something requires using the speaker_map guidance provided by the search feature. It scans transcript bodies and YAML frontmatter to surface relevant speaker statements and commitments buried in your local meeting files.
Semantic search for voice memos works when QMD semantic search is configured. Without QMD, the system relies on standard case-insensitive substring matching across memo bodies and frontmatter to locate captured ideas.
Yes, you need local markdown files stored in the ~/meetings/ directory to search past meeting transcripts. The tool scans these markdown files and frontmatter to extract and surface matching topics, decisions, or ideas.
Your transcript search may return irrelevant results if queries are too vague. The search coaching feature prompts you to refine queries and apply content-type filters, ISO date ranges, and result limits to narrow down findings.
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