MeetingClaw is an intelligent meeting assistant that uses advanced voice recognition to transform raw audio into structured, actionable meeting minutes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meeting-claw
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 meeting-claw 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 MeetingClaw?
MeetingClaw is a professional-grade AI tool designed to automate the documentation of meetings and discussions. By integrating Volcengine Voice Recognition 2.0 with the Openclaw Skills framework, it allows users to convert audio files into highly organized Markdown summaries. The skill is built to handle complex audio environments and provides a structured output that includes thematic analysis, key takeaways, and specific speaker-attributed action items.
This skill offers two distinct processing modes to balance speed and cost: a Fast Edition for immediate binary stream recognition and a Standard Edition for batch processing via cloud storage. By utilizing Openclaw Skills, MeetingClaw ensures that developers and project managers can maintain a perfect record of their technical sessions without manual note-taking.
MeetingClaw Use Cases
- Automatically generating structured minutes from uploaded MP3, WAV, or M4A audio recordings.
- Transcribing long-form discussions up to two hours and synthesizing core viewpoints.
- Extracting specific action items and assigning them to speakers identified in the transcript.
- Archiving historical meeting data in organized local directories for future reference.
How MeetingClaw Works
- The skill receives an audio file from the user and performs an automatic duration check to ensure compliance with the 2-hour limit.
- It prompts the user to select a recognition mode, defaulting to the high-speed Fast Edition for local binary streams.
- The audio is processed through the Volcengine Voice Recognition 2.0 API to generate a raw text transcription.
- The transcribed text is analyzed by the Openclaw Skills large language model to perform thematic deduction and summarization.
- A structured Markdown report is generated, covering the theme, summary, key insights, and to-do lists.
- Files are archived locally in a date-stamped folder structure (e.g.,
~/workspace/MeetingClaw/YYYYMMDD/).
MeetingClaw Setup
To deploy MeetingClaw, you must configure your environment with the necessary Volcengine credentials. Follow these steps:
- Set your API keys as environment variables:
export VOLC_ACCESS_KEY='your_access_key'
export VOLC_SECRET_KEY='your_secret_key'
- Enable the Doubao Voice Recognition 2.0 Fast Edition service in the Volcengine console.
- If using the Standard Edition, ensure you have active Volcengine TOS (Object Storage) and Standard Edition recognition services enabled.
MeetingClaw Data Schema & Taxonomy
MeetingClaw follows a strict organizational schema for all generated content. All Openclaw Skills outputs are stored in your local workspace to ensure data sovereignty.
| Data Type | File Format | Location |
|---|---|---|
| Original Audio | .mp3, .wav, .m4a | ~/workspace/MeetingClaw/YYYYMMDD/filename.ext |
| Meeting Minutes | .md (Markdown) | ~/workspace/MeetingClaw/YYYYMMDD/filename.md |
| Metadata | Internal Header | Included within the Markdown file summary section |
MeetingClaw Advanced Features
- Dual Recognition Modes: Choose between Fast Edition (binary stream) and Standard Edition (TOS URL) to optimize for speed or cost.
- Intelligent To-Do Extraction: Automatically identifies tasks and assignees from the flow of conversation.
- Privacy-First Retention: Implements an automatic 30-day cleanup for local audio files, with customizable retention periods.
- Verbatim Quotations: Highlights critical conclusions by quoting speakers directly in the summary report.
SKILL.md
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