Meeting Prep logo

Meeting Prep

Organization
nano-muse
meeting-prep

Prepare for a meeting (who is in it, what was last said with them, what the user owes them and wants from them) as a one-page brief. Use when the user asks to prepare for or get ready for a meeting, a call or a visit; a trigger can run it before every meeting with a client.

Overview

Publishernano-muse
RepositorynanoMuse
Skill namemeeting-prep
Stars
885
Forks
94
Bundled files
Instructions only
LicenseGPL-3.0
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 nano-muse on GitHub. Read the source before you install it.

Installation

Install the Meeting Prep 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/nano-muse/nanoMuse/tree/main/nanomuse/skills/builtin/meeting-prep
  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/nano-muse/nanoMuse.git /tmp/nanoMuse
mkdir -p .claude/skills
cp -r /tmp/nanoMuse/nanomuse/skills/builtin/meeting-prep .claude/skills/meeting-prep
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meeting Prep 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 Prep 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 Prep 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.

Meeting prep

A brief at meetings/YYYY-MM-DD-<slug>.md in the workspace, and its gist in chat. Works with any of the connectors; the more are there, the fuller the brief.

Find the meeting

  • If the user named it, calendar action=search for it; otherwise calendar action=agenda for today and tomorrow and take the next one that has other people in it. If nothing fits, ask with one ask_user: which meeting, and with whom.
  • A trigger (kind=event) gives you the event as context: use it as is, do not search again.

The people

  • Each attendee: contacts action=search by name or address: company, role, how the user knows them. Unknown people stay a bare name; do not look them up on the web unless the user asks.
  • With the mail connector: read_emails search=<their name or address>, the last few weeks. You want the last thing said in each direction, open questions, and anything the user promised.
  • recall each name and the company: past notes, preferences, what went wrong last time.

The matter

  • Related files in the workspace: files action=search for the company, the project or the meeting's title; list the two or three that matter with a one-line note.
  • Active goals that mention the people or the topic: the current step is what the user probably wants out of the meeting.

The brief (Markdown)

  1. When and where: from the event, time, place or link, duration.
  2. Who: one line per person, name, role, company, the relationship in a few words.
  3. Where things stand: the last exchange, the open questions, promises made (by whom, when).
  4. What you want from it: two or three outcomes, drawn from goals and the last exchange; phrase them as sentences the user could say.
  5. To bring / to have read: files, numbers, decisions.
  6. Watch out: anything from memory or mail that would embarrass (a missed deadline, a name they get wrong).

A page, not a report. Nothing the sources did not say; a section with nothing in it is left out.

Finish

Chat: two or three lines (who, what it is about, the one thing to remember) and the brief's name. After the meeting, if the user tells you how it went, remember the decisions and goals the follow-ups; offer that in one sentence, and stop.

Frequently asked questions

What does the Meeting Prep AI skill do?

Prepare for a meeting (who is in it, what was last said with them, what the user owes them and wants from them) as a one-page brief. Use when the user asks to prepare for or get ready for a meeting, a call or a visit; a trigger can run it before every meeting with a client.

Why use Meeting Prep on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nano-muse/nanoMuse/tree/main/nanomuse/skills/builtin/meeting-prep. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meeting Prep?

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 Prep?

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

Is the Meeting Prep AI skill free?

Yes. It is published on GitHub by nano-muse under the GPL-3.0 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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