Minutes Search logo

Minutes Search

CommunityPopular
silverstein
minutes-search

Search past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".

Overview

Publishersilverstein
Repositoryminutes
Skill nameminutes-search
Stars
1.5K
Forks
163
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by silverstein on GitHub. Read the source before you install it.

Installation

Install the Minutes Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/silverstein/minutes.git /tmp/minutes
mkdir -p .claude/skills
cp -r /tmp/minutes/tooling/skills/goldens/claude/minutes-search .claude/skills/minutes-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minutes Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Minutes Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Minutes Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/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

FlagDescription
-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. A result path is only a hint. To read the full transcript, run minutes get "<exact path>" --json, require exit status 0, and use only that response. Never pass the path to cat or the host Read tool.

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 the policy-authorized normal history involving someone: "Alex" or "Case"
  • Search for decisions: "decided", "agreed", "committed to"
  • Reauthorize a selected result with minutes get "<exact path>" --json before loading full context

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.

Frequently asked questions

What does the Minutes Search AI skill do?

Search past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".

Why use Minutes Search on TypingMind?

Because you install it once and use it with any model. Minutes Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Minutes Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/silverstein/minutes/tree/main/tooling/skills/goldens/claude/minutes-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Minutes Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Minutes Search?

As many as you like. As long as a model supports skills, you can use Minutes Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Minutes Search AI skill free?

Yes. It is published on GitHub by silverstein under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇