An intelligent transcription tool that converts spoken memos into categorized text with automatic extraction of dates, tasks, and contacts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memo
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 memo 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 Voice Memo Transcriber?
The SenseAudio Voice Memo Transcriber is a specialized tool in the Openclaw Skills ecosystem that automates the conversion of raw audio into actionable information. It goes beyond simple speech-to-text by applying intelligent cleaning filters and heuristic-based extraction to identify key details like deadlines and action items. This skill is ideal for developers and power users who rely on voice notes but need the organization of a structured database or task manager. By utilizing Openclaw Skills, you can integrate high-fidelity transcription directly into your personal or professional automation workflows.
SenseAudio Voice Memo Transcriber Use Cases
- Capturing meeting minutes and automatically identifying next steps
- Converting verbal shopping lists or errands into structured checklists
- Organizing field research notes into categorized digital archives
- Archiving spoken thoughts and ideas with automatic topic tagging
How SenseAudio Voice Memo Transcriber Works
- The user provides an audio file which is sent to the SenseAudio ASR API for high-accuracy transcription.
- A cleaning pass removes linguistic fillers such as um or uh and standardizes sentence casing.
- Pattern matching identifies dates, specific tasks, and proper names within the text.
- The transcription is analyzed against keyword sets to assign a category like work, personal, or ideas.
- The final output is compiled into a structured JSON object or a formatted Markdown document for easy export.
SenseAudio Voice Memo Transcriber Setup
To use this integration from the Openclaw Skills repository, install the necessary dependencies and configure your API access:
pip install requests
Ensure you have your SenseAudio API key available as an environment variable:
export SENSEAUDIO_API_KEY='your_api_key_here'
SenseAudio Voice Memo Transcriber Data Schema & Taxonomy
The skill generates a comprehensive JSON object containing the following structure:
| Field | Type | Description |
|---|---|---|
| timestamp | String | ISO 8601 timestamp of when the memo was processed |
| category | String | The classified topic of the memo (e.g., work, personal, shopping) |
| text | String | Cleaned and formatted transcription text |
| raw_text | String | Original verbatim output from the ASR model |
| extracted_info | Object | Nested lists of detected dates, tasks, and contacts |
| summary | String | A brief overview generated from the transcription |
SenseAudio Voice Memo Transcriber Advanced Features
- Batch processing support for handling multiple audio files in a single execution
- Markdown export functionality for seamless integration with notes and PKM tools
- Keyword-based search and date filtering across processed memo archives
- Automated task extraction using action-verb pattern recognition to build to-do lists
SKILL.md
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