Instantly turn messy meeting notes or transcripts into structured summaries, action items, and searchable archives.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-meeting-notes
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-meeting-notes using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Meeting Notes?
AI Meeting Notes is a high-performance automation tool designed to eliminate the manual labor of meeting follow-ups. By analyzing raw text, transcripts, or email threads, it extracts critical decisions and assigns tasks with owners and deadlines. This skill provides a privacy-first, subscription-free alternative to traditional meeting assistants by keeping everything within your local workspace.
As a core component of the Openclaw Skills ecosystem, it ensures that unstructured data is never lost. It automatically organizes every session into a searchable database of Markdown files, making it easy to reference past decisions and hold team members accountable without requiring external bots or expensive monthly fees.
AI Meeting Notes Use Cases
- Converting Otter.ai, Fireflies, or Zoom transcripts into actionable Markdown summaries.
- Extracting follow-up tasks and deadlines from long Slack conversations or email threads.
- Maintaining a chronological archive of project decisions and attendee lists for audit trails.
- Automating daily to-do list reviews based on commitments made in previous meetings.
- Organizing messy, hand-written fragments into professional documentation.
How AI Meeting Notes Works
- The user pastes raw text, transcript files (VTT/SRT), or messy bullet points into the agent interface.
- The skill identifies key metadata including the meeting date, title, attendees, and core outcomes.
- A structured Markdown file is automatically generated and saved to the local workspace using a chronological naming convention.
- Extracted action items are displayed in a numbered list with a prompt to sync them directly to a centralized tracker.
- Users can query the archived data using natural language to retrieve decisions or specific owner tasks.
AI Meeting Notes Setup
To begin using this addition to your Openclaw Skills collection, ensure your workspace is prepared for file storage and task tracking.
# Create the directory for meeting archives
mkdir -p meeting-notes
# Initialize your centralized to-do tracker
touch todo.md
No external API keys or subscriptions are required. Once these files are present, simply paste your notes to trigger the extraction workflow.
AI Meeting Notes Data Schema & Taxonomy
The skill maintains a strict organizational structure to ensure all data remains searchable and compatible with other Openclaw Skills.
| File/Folder | Description | Format |
|---|---|---|
meeting-notes/ |
The primary storage directory for all extracted records. | Folder |
YYYY-MM-DD_topic.md |
Individual meeting records with YAML frontmatter. | Markdown |
todo.md |
A centralized file tracking active, overdue, and completed tasks. | Markdown |
PREFERENCES.md |
Optional configuration file to customize output formatting. | Markdown |
Each meeting file contains specific sections for Summary, Action Items, Decisions, Open Questions, and Next Steps, ensuring a consistent metadata taxonomy.
AI Meeting Notes Advanced Features
- Cross-meeting querying: Search through the entire meeting-notes directory to find specific decisions or task history.
- Interactive To-Do Management: Use commands like done, remove, or move to update the centralized task tracker.
- Multi-format Exports: Request output optimized for Slack, professional emails, or structured JSON for integration with other tools.
- Custom Preferences: Define unique formatting styles or mandatory extraction fields via a local configuration file.
- Intelligent Reference: Ask the agent what a specific team member has on their plate across all recorded sessions.
SKILL.md
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