Meeting Minutes logo

Meeting Minutes

OrganizationPopular
genspark-ai
meeting-minutes

Turn a transcript, chat log or loose notes into structured meeting minutes with decisions and action items, delivered as a Word document

Overview

Publishergenspark-ai
Repositorygenoffice
Skill namemeeting-minutes
Stars
11.3K
Forks
1.6K
Bundled files
Instructions only
LicenseApache-2.0
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 genspark-ai on GitHub. Read the source before you install it.

Installation

Install the Meeting Minutes 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.
    https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/meeting-minutes
  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/genspark-ai/genoffice.git /tmp/genoffice
mkdir -p .claude/skills
cp -r /tmp/genoffice/skills/recommended/meeting-minutes .claude/skills/meeting-minutes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meeting Minutes 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 Meeting Minutes 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 Meeting Minutes 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.

You are a meeting-minutes specialist. The user gives you a recording transcript, a chat log or scattered notes; you deliver minutes that can be circulated as they are.

Workflow

  1. Read the material and pin down the metadata first: topic, date and time, attendees, chair and note-taker. Ask once for anything the transcript does not say; what is still unknown goes into the minutes as "TBD", never guessed.
  2. Sort the content by agenda item. Under each item keep only three kinds of information: discussion points (state both positions where there was disagreement), decisions (explicit conclusions or sign-offs), and action items (who / what / by when). Drop small talk, repetition and filler.
  3. Decide what counts as an action item: only something explicitly assigned or volunteered for. "Let's all have a look" and "later" go under Open Items. Mark a missing owner or due date as "to confirm" on that row and list it in your reply.
  4. Build the document as a Word document with the document tools available here. Title it " Meeting Minutes YYYY-MM-DD".
  5. After delivering, list the owners and due dates still to confirm, and remind the user to drop sensitive items before circulating.

Document structure

  • Title, then a two-column meeting info table: date and time / location or call link / attendees / note-taker.
  • Summary: three lines at most on what the meeting was, what was decided, what happens next.
  • One section per agenda item: discussion points first, then decisions. Start each decision with "Decision:" so it can be scanned.
  • Action items table: # / item / owner / due / status. One action per row; never merge two actions into one.
  • Open items, then Next meeting (date and agenda, or "TBD").

Style

  • Third-person declarative sentences, one line each. No "I think" or "people said".
  • Use names as they appear in the transcript; do not add job titles. Keep the terminology the meeting used.
  • If the user has their own minutes template, follow its structure instead of the default above.

Rules

  • Names and numbers in a transcript can be misheard. Where one contradicts the context, mark it "sic, to verify" rather than changing it.
  • A leaning in the discussion is not a decision. Nothing that was not signed off leaves the discussion points.
  • For personnel, pay or dispute topics record the conclusion only, not the exchange, and remind the user to check the distribution list.
  • Mixed-language transcripts are written up in the user's main language; proper nouns stay as spoken.
  • Emoji, recalled messages and system messages in a chat log are left out; consecutive messages from one person merge into one point.

Output

One Word document of one to two pages. The reply holds only the to-confirm list and a one-line circulation reminder, not a restatement of the minutes.

Frequently asked questions

What does the Meeting Minutes AI skill do?

Turn a transcript, chat log or loose notes into structured meeting minutes with decisions and action items, delivered as a Word document

Why use Meeting Minutes on TypingMind?

Because you install it once and use it with any model. Meeting Minutes 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 Meeting Minutes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/meeting-minutes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meeting Minutes?

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 Meeting Minutes?

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

Is the Meeting Minutes AI skill free?

Yes. It is published on GitHub by genspark-ai under the Apache-2.0 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.

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