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Meeting Prep

Community
Mehdibargach
meeting-prep

Generate a 1-page meeting brief with context, objectives, key questions, pre-read, expected decisions, and a parking lot. Takes a meeting topic or agenda and outputs a structured prep document.

Overview

PublisherMehdibargach
Repositoryclaude-code-pm-skills
Skill namemeeting-prep
Stars
97
Forks
38
Bundled files
Instructions only
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 Mehdibargach 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/Mehdibargach/claude-code-pm-skills/tree/main/skills/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/Mehdibargach/claude-code-pm-skills.git /tmp/claude-code-pm-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-pm-skills/skills/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

Create a tight, 1-page brief so everyone walks in aligned and walks out with decisions. Meetings without prep are just group therapy.

Process

  1. Parse the meeting context. Understand the topic, who is likely in the room, and what triggered the meeting.
  2. Define the objective. What must the group walk out with? A decision, alignment, a plan, or information shared.
  3. Generate key questions. 3-5 specific questions the meeting must answer. Not open-ended ("thoughts on X?") but pointed ("do we go with A or B?").
  4. Identify pre-read. What do attendees need to know before the meeting to avoid wasting time on context-setting.
  5. List expected decisions. What choices will be made in this meeting, and who has the final call.
  6. Set the parking lot. What topics are adjacent but explicitly out of scope for this meeting.

Output Format

## Meeting Brief: [Topic]
**Date:** [if provided] | **Duration:** [if provided] | **Type:** [Decision / Alignment / Brainstorm / Review]

### Context
[1-2 sentences. Why this meeting is happening now. What triggered it.]

### Objective
Walk out with: [specific deliverable — a decision on X, alignment on Y, a plan for Z]

### Key Questions to Answer
1. [Specific, answerable question]
2. [Specific, answerable question]
3. [Specific, answerable question]
4. [Specific, answerable question] (if needed)
5. [Specific, answerable question] (if needed)

### Pre-Read
Attendees should review before the meeting:
- [Document/data/context + why it matters]
- [Document/data/context + why it matters]
- [Key number or fact to have in mind]

### Decisions Expected
| Decision | Options | Decision Maker |
|----------|---------|---------------|
| [What needs deciding] | [A vs. B vs. C] | [Who has final call] |
| [What needs deciding] | [A vs. B] | [Who has final call] |

### Parking Lot (do NOT discuss)
- [Topic that will derail this meeting]
- [Adjacent but separate concern — schedule a follow-up]
- [Interesting but not urgent]

### Suggested Agenda (if time is provided)
| Time | Topic | Owner |
|------|-------|-------|
| [5 min] | Context + objective | [facilitator] |
| [15 min] | [Key question 1-2] | [relevant person] |
| [15 min] | [Key question 3-4] | [relevant person] |
| [10 min] | Decision + next steps | [facilitator] |
| [5 min] | Recap + action items | [facilitator] |

Rules

  • The objective must be concrete. "Discuss the roadmap" is not an objective. "Decide Q3 priorities and assign owners" is.
  • Key questions must be answerable in the meeting. If a question requires research that has not been done, it belongs in the pre-read as an action item, not in the meeting.
  • Every meeting must have at least one expected decision. If there are no decisions to make, question whether the meeting should be an email instead. Say this explicitly.
  • The parking lot is not optional. Every meeting has scope creep risk. Name the likely tangents upfront.
  • Pre-read must be specific. "Review the doc" is useless. "Read sections 2-3 of the PRD, focus on the trade-offs table" is useful.
  • Keep the entire brief to one page. If it is longer, the meeting scope is too broad — suggest splitting.
  • If the input is just a meeting title with no context, ask 2-3 clarifying questions rather than guessing.
  • Suggest a time allocation only if the meeting duration is provided.

Frequently asked questions

What does the Meeting Prep AI skill do?

Generate a 1-page meeting brief with context, objectives, key questions, pre-read, expected decisions, and a parking lot. Takes a meeting topic or agenda and outputs a structured prep document.

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/Mehdibargach/claude-code-pm-skills/tree/main/skills/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?

It is published on GitHub by Mehdibargach. Check the repository for licensing terms. 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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