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Notion Meeting Intelligence

Organization
beep-effect
notion-meeting-intelligence

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

Overview

Publisherbeep-effect
Repositorybeep-effect
Skill namenotion-meeting-intelligence
Stars
74
Forks
14
Bundled files
16
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.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by beep-effect on GitHub. Read the source before you install it.

Installation

Install the Notion Meeting Intelligence 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/beep-effect/beep-effect.git /tmp/beep-effect
mkdir -p .claude/skills
cp -r /tmp/beep-effect/plugins/notion/skills/notion-meeting-intelligence .claude/skills/notion-meeting-intelligence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Notion Meeting Intelligence 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 Notion Meeting Intelligence 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 Notion Meeting Intelligence 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 Intelligence

Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.

Quick start

  1. Confirm meeting goal, attendees, date/time, and decisions needed.
  2. Gather context: search with Notion:search, then fetch with Notion:fetch (prior notes, specs, OKRs, decisions).
  3. Pick the right template via reference/template-selection-guide.md (status, decision, planning, retro, 1:1, brainstorming).
  4. Draft agenda/pre-read in Notion with Notion:notion-create-pages, embedding source links and owner/timeboxes.
  5. Enrich with Codex research (industry insights, benchmarks, risks) and update the page with Notion:notion-update-page as plans change.

Tool-call guardrails

  • Notion tool availability can vary by workspace. If a Notion MCP call returns Tool <name> not found, treat that tool as unavailable for the rest of the current task. Do not retry it with different arguments or call it again later; use Notion:search and Notion:fetch where sufficient.
  • Use one literal search query per Notion:search call and include filters: {} when no narrower filter is needed.
  • Only fetch Notion page, database, or data-source URLs/IDs; external connected-source search results are not valid Notion:fetch inputs.
  • Create meeting pages with an explicit parent and a pages array.
  • Query databases with Notion:notion-query-data-sources under a top-level data object, using fetched collection://... URLs as table names.
  • When editing a page, fetch its current content first and use Notion:notion-update-page with supported commands such as update_content or update_properties; on the current deployed surface, use properties: {} for update_content and content_updates: [] for update_properties. Do not invent insertion-only commands.

Workflow

0) If Notion tools are unavailable, pause and ask the user to connect the Notion app:

  1. Enable the bundled Notion app for this plugin or session.
  2. Complete the Notion auth flow if Codex prompts for it.
  3. Restart Codex or the current session if the tools still do not appear.

After the app is connected, finish your answer and tell the user to retry so they can continue with Step 1.

1) Gather inputs

  • Ask for objective, desired outcomes/decisions, attendees, duration, date/time, and prior materials.
  • Search Notion for relevant docs, past notes, specs, and action items (Notion:search), then fetch key pages (Notion:fetch).
  • Capture blockers/risks and open questions up front.

2) Choose format

  • Status/update → status template.
  • Decision/approval → decision template.
  • Planning (sprint/project) → planning template.
  • Retro/feedback → retrospective template.
  • 1:1 → one-on-one template.
  • Ideation → brainstorming template.
  • Use reference/template-selection-guide.md to confirm.

3) Build the agenda/pre-read

  • Start from the chosen template in reference/ and adapt sections (context, goals, agenda, owner/time per item, decisions, risks, prep asks).
  • Include links to pulled Notion pages and any required pre-reading.
  • Assign owners for each agenda item; call out timeboxes and expected outputs.

4) Enrich with research

  • Add concise Codex research where helpful: market/industry facts, benchmarks, risks, best practices.
  • Keep claims cited with source links; separate fact from opinion.

5) Finalize and share

  • Add next steps and owners for follow-ups.
  • If tasks arise, create/link tasks in the relevant Notion database.
  • Update the page via Notion:notion-update-page when details change; keep a brief changelog if multiple edits.

References and examples

  • reference/ — template picker and meeting templates (e.g., template-selection-guide.md, status-update-template.md, decision-meeting-template.md, sprint-planning-template.md, one-on-one-template.md, retrospective-template.md, brainstorming-template.md).
  • examples/ — end-to-end meeting preps (e.g., executive-review.md, project-decision.md, sprint-planning.md, customer-meeting.md).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Notion Meeting Intelligence AI skill do?

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

Why use Notion Meeting Intelligence on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beep-effect/beep-effect/tree/main/plugins/notion/skills/notion-meeting-intelligence. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Notion Meeting Intelligence?

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 Notion Meeting Intelligence?

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

Is the Notion Meeting Intelligence AI skill free?

Yes. It is published on GitHub by beep-effect 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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