minutes-search
minutes-search queries meeting transcripts and voice memos stored in markdown files to locate specific topics, people, decisions, or past discussions. Use this skill when users ask about what was discussed regarding a particular subject, need to find a specific meeting, want to know what someone said, or are checking for existing notes on a topic. The tool supports filtering by content type and date range, returns results with snippets showing context, and can leverage semantic search if configured.
git clone --depth 1 https://github.com/silverstein/minutes /tmp/minutes-search && cp -r /tmp/minutes-search/tooling/skills/sources/minutes-search ~/.claude/skills/minutes-searchskill.md
# /minutes-search Find information across all meeting transcripts and voice memos. ## Usage ```bash # Basic search minutes search "pricing strategy" # Filter to just voice memos minutes search "onboarding idea" -t memo # Filter to just meetings minutes search "sprint planning" -t meeting # Date filter + limit minutes search "API redesign" --since 2026-03-01 --limit 5 ``` ## Flags | Flag | Description | |------|-------------| | `-t, --content-type <meeting\|memo>` | Filter by type | | `--since <date>` | Only results after this date (ISO format, e.g., `2026-03-01`) | | `-l, --limit <n>` | Maximum results (default: 10) | ## Output Returns JSON to stdout with an array of matches. Each result includes: - `title` — Meeting or memo title - `date` — When it was recorded - `content_type` — "meeting" or "memo" - `snippet` — The line containing the match - `path` — Full path to the markdown file Human-readable output goes to stderr. To read the full transcript of a match, use `cat <path>` on any result's path. ## How search works Search is case-insensitive and matches against both the transcript body and the YAML frontmatter title. It walks all `.md` files in `~/meetings/` (including the `memos/` subfolder). For richer semantic search, users can configure QMD as the search engine in `~/.config/minutes/config.toml`: ```toml [search] engine = "qmd" qmd_collection = "meetings" ``` ## Search coaching When the user's search query is vague or too broad, push back before running it: - **"who said X"** or **"what did Alex say"** → If the meeting has `speaker_map` in frontmatter, use it to identify who said what. `speaker_map` maps SPEAKER_X labels to real names. High confidence = reliable, Medium = "likely" (suggest `minutes confirm` to lock it in). - **"everything"** or **"all meetings"** → "That'll return hundreds of results. What specifically are you looking for? A person, a topic, or a decision?" - **Single common word** like "meeting" or "project" → "That's too broad. Can you narrow it — a person's name, a specific topic, or a date range?" - **"that meeting"** or **"the one where"** → "Help me narrow it down. Do you remember who was in the meeting, roughly when it was, or a specific thing that was said?" Suggest search strategies based on what the user is looking for: - **Finding a person's input** → Search their name: `minutes search "Alex"` - **Finding a decision** → Search decision keywords: `minutes search "decided"` or `minutes search "agreed"` - **Finding an idea** → Search voice memos: `minutes search "idea" -t memo` - **Finding something from a time range** → Use `--since`: `minutes search "pricing" --since 2026-03-01` ## Tips for good searches - Search for **what people said**, not document titles: `"we should postpone the launch"` not `"launch delay meeting"` - Search for **names** to find everything someone discussed: `"Alex"` or `"Case"` - Search for **decisions**: `"decided"`, `"agreed"`, `"committed to"` - Combine with `Read` to load the full context after finding a match ## Gotchas - **Search is substring, not fuzzy** — `"price"` matches `"pricing"` and `"price"`, but `"prcing"` (typo) matches nothing. Try multiple terms if you're not sure of the exact wording. - **`--since` requires ISO date format** — Use `2026-03-01`, not `"last week"` or `"March 1st"`. For relative dates, compute the ISO date first: `date -v-7d +%Y-%m-%d`. - **Large result sets flood stdout** — Always use `--limit` when searching broad terms. The default limit is 10, but common words can match hundreds of files. - **QMD semantic search requires separate setup** — If `config.toml` sets `engine = "qmd"` but the QMD collection isn't indexed, search will fail silently. Run `qmd update && qmd embed` first. - **Voice memos vs meetings** — Both are searched by default. Use `-t memo` or `-t meeting` to narrow results. Voice memos live in `~/meetings/memos/`, meetings in `~/meetings/`. - **Empty results don't mean it wasn't discussed** — If the meeting wasn't transcribed (e.g., recording was stopped before processing), it won't appear in search. Check `minutes list` to see what's been processed.
Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.
Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.
Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.
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", "all mentions of Y across meetings", "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.
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.
Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.
List recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.