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Granola

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ArtemXTech
granola

Query and sync Granola meetings to Obsidian vault. Use when user mentions Granola, meeting transcripts, or wants to sync meeting notes. Reads from local cache - no API needed.

Overview

PublisherArtemXTech
Repositorypersonal-os-skills
Skill namegranola
Stars
542
Forks
90
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Granola 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/ArtemXTech/personal-os-skills/tree/main/skills/granola
  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/ArtemXTech/personal-os-skills.git /tmp/personal-os-skills
mkdir -p .claude/skills
cp -r /tmp/personal-os-skills/skills/granola .claude/skills/granola
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Granola 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 Granola 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 Granola 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.

Granola Skill

Query and sync Granola AI meeting notes to Obsidian vault.

How It Works

Granola stores everything locally at ~/Library/Application Support/Granola/cache-v3.json:

  • Documents (meetings with title, notes, people)
  • Transcripts (real-time, with timestamps and source)
  • Updates in real-time as you record

No API calls needed - reads directly from local cache.

Quick Start

bash
# List all meetings
python3 .claude/skills/granola/scripts/granola.py list

# Get specific meeting with transcript
python3 .claude/skills/granola/scripts/granola.py get <id>

# Sync new meetings to vault
python3 .claude/skills/granola/scripts/granola.py sync

# Sync specific meeting
python3 .claude/skills/granola/scripts/granola.py sync --id <id>

Commands

list

List all Granola meetings with sync status.

bash
python3 .claude/skills/granola/scripts/granola.py list
python3 .claude/skills/granola/scripts/granola.py list --limit 5

Output:

[✓] 2026-01-09  Team Sync - Weekly
    ID: abc123...
    Transcript: 450 segments, ~86 min

[ ] 2026-01-10  Team Standup
    ID: def456...
    Transcript: 120 segments, ~15 min
  • [✓] = already synced to vault
  • [ ] = not synced yet

get

View full meeting details and transcript.

bash
python3 .claude/skills/granola/scripts/granola.py get <id>
python3 .claude/skills/granola/scripts/granola.py get <id> --no-transcript

sync

Sync meetings to Meetings/ as structured Markdown.

bash
# Sync new meetings only
python3 .claude/skills/granola/scripts/granola.py sync

# Sync specific meeting
python3 .claude/skills/granola/scripts/granola.py sync --id <id>

# Re-sync all (overwrites existing)
python3 .claude/skills/granola/scripts/granola.py sync --all

Output Format

Synced meetings are saved to Meetings/ with this structure:

markdown
---
type: granola-meeting
date: 2026-01-09
time: "19:30"
duration_min: 86
granola_id: abc123...
people:
  - "[[Sarah Chen]]"
topics: []
status: raw
---

# Meeting Title

## Notes

(Your notes from Granola)

## Transcript

[19:30:45] 🎤 Hey, how's it going?
[19:30:48] 🎤 Great to meet you...

Transcript icons:

  • 🎤 = microphone (you)
  • 🔊 = system audio (others on call)

Workflow

  1. Record meeting in Granola (real-time transcription)
  2. Sync to vault: python3 .claude/skills/granola/scripts/granola.py sync
  3. Process meeting: Extract action items, update people notes
  4. Mark as processed: Change status: raw to status: processed

Querying with Bases

Use Granola.base to query synced meetings:

ViewFilter
RecentLast 7 days
Needs Processingstatus = raw
By PersonGrouped by people field

Data Structure

Local cache: ~/Library/Application Support/Granola/cache-v3.json

cache (JSON string) → state →
  ├── documents: {id: {title, notes_plain, notes_markdown, people, created_at}}
  └── transcripts: {id: [{text, source, start_timestamp, end_timestamp}]}

Transcript segment:

json
{
  "text": "Hey, how's it going?",
  "source": "microphone",
  "start_timestamp": "2026-01-09T19:30:45.123Z",
  "end_timestamp": "2026-01-09T19:30:48.456Z"
}

Tips

  • Real-time access: Cache updates as you record - can query mid-meeting
  • Free tier hack: Sync hourly to bypass 7-day history limit
  • No auth needed: Uses local files, not API

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 Granola AI skill do?

Query and sync Granola meetings to Obsidian vault. Use when user mentions Granola, meeting transcripts, or wants to sync meeting notes. Reads from local cache - no API needed.

Why use Granola on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArtemXTech/personal-os-skills/tree/main/skills/granola. 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 Granola?

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 Granola?

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

Is the Granola AI skill free?

Yes. It is published on GitHub by ArtemXTech 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.

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