SenseAudio Meeting Assistant for Openclaw

A professional toolkit for building meeting assistants that handle real-time transcription, speaker identification, and automated note generation.

scikkk
v1.0.0
Mar 13, 2026
1
2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install meeting-assistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install meeting-assistant 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 SenseAudio Meeting Assistant?

The SenseAudio Meeting Assistant is a technical framework designed for developers to build and troubleshoot sophisticated meeting workflows. By leveraging advanced Automatic Speech Recognition (ASR), this skill facilitates the creation of live captioning systems, searchable meeting archives, and automated summarization tools. It effectively bridges the gap between raw audio data and actionable business intelligence.

Utilizing Openclaw Skills for your meeting infrastructure ensures high-fidelity transcription with support for speaker diarization and real-time translation. Whether you are building a live meeting copilot or a post-meeting analytics engine, this skill provides the necessary protocols to handle both WebSocket-based live streams and HTTP-based file processing with professional-grade accuracy.

SenseAudio Meeting Assistant Use Cases

  • Providing live meeting captions or real-time transcripts for accessibility and documentation.
  • Generating speaker-separated meeting records to track individual contributions.
  • Creating bilingual or translated meeting outputs for international teams.
  • Extracting meeting summaries, key decisions, and structured action items automatically.
  • Building searchable archives from historical meeting audio and ASR history.

How SenseAudio Meeting Assistant Works

  1. Determine the meeting mode: choose WebSocket for live streaming or HTTP for processing pre-recorded audio files.
  2. Select the optimal recognition model: use sense-asr-pro for full diarization or sense-asr-deepthink for translation-heavy tasks.
  3. Configure authentication: initialize the connection using the secure API key environment variable.
  4. Process audio stream: send 16kHz mono PCM data for real-time tasks or upload files for offline processing.
  5. Normalize ASR output: parse the verbose JSON results to preserve speaker tags, timestamps, and segment boundaries.
  6. Generate artifacts: transform the normalized transcript into finalized summaries and action items via LLM integration.

SenseAudio Meeting Assistant Setup

To start building with this skill, ensure you have your API credentials ready. Follow these steps to configure your environment:

  1. Obtain your API key from the SenseAudio platform.
  2. Set your environment variable:
export SENSEAUDIO_API_KEY='your_api_key_here'
  1. Ensure your audio input for real-time streams is set to PCM, 16000Hz, Mono, 16-bit little-endian.

SenseAudio Meeting Assistant Data Schema & Taxonomy

The skill organizes meeting data into structured formats to ensure compatibility with downstream LLM processing:

Feature Data Type Description
Transcript JSON / Markdown Normalized text segments with speaker labels.
Timestamps word / segment Granular timing data for precise navigation.
Metadata Object Includes sentiment analysis and confidence scores.
Action Items List Structured tasks identified with owners and deadlines.
Audio Specs PCM/WAV Enforced 16kHz mono for real-time compatibility.

SenseAudio Meeting Assistant Advanced Features

  • Speaker Diarization: Automatically distinguish between multiple participants using the sense-asr-pro model.
  • Real-time Translation: Stream bilingual transcripts simultaneously during live sessions.
  • Semantic Cleanup: Utilize DeepThink models for enhanced translation and grammatical accuracy.
  • Word-level Granularity: Access precise timestamps for every word in the transcript for advanced editing.
  • Artifact Exporting: Automatically generate production-ready meeting notes and decision logs in Markdown format.

SKILL.md


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