A hands-free voice recognition tool designed to help researchers record experimental procedures and observations into structured documentation in real-time.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install voice-to-protocol-transcriber-1
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 voice-to-protocol-transcriber-1 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 Voice-to-Protocol Transcriber?
The Voice-to-Protocol Transcriber is a specialized utility within the Openclaw Skills ecosystem tailored for researchers working in laboratory environments. It enables users to document chemistry, biology, or physics experiments without ever needing to touch a keyboard, ensuring that focus remains entirely on the scientific procedure.
By leveraging real-time speech-to-text technology, the skill converts voice commands into organized logs, complete with timestamps and categorized entries. This tool is essential for maintaining high-fidelity records in wet lab settings where manual note-taking is difficult or impractical.
Voice-to-Protocol Transcriber Use Cases
- Chemistry experiment operation recording for hands-free documentation.
- Biology experiment step tracking to ensure procedural consistency.
- Physics experiment data recording during active measurement phases.
- Clinical experiment operation logging for immediate and accurate record-keeping.
- Any scenario requiring real-time step recording while hands are occupied with equipment.
How Voice-to-Protocol Transcriber Works
- The user initiates the session via the Openclaw CLI or a Python script, specifying the experiment name and language.
- The skill activates the microphone and listens for specific voice triggers like Start Recording.
- As the user speaks, the engine performs real-time transcription and uses keyword detection to classify input into Steps, Observations, or Notes.
- Every entry is automatically tagged with a high-precision timestamp for accurate chronological sequencing.
- The system periodically auto-saves the transcribed data to prevent information loss.
- Upon completion, the user issues a save command to generate a structured report in Markdown or Word format.
Voice-to-Protocol Transcriber Setup
To begin using this skill, install the required Python dependencies:
pip install speechrecognition pyaudio pydub python-docx
Configure your language preferences and save directories in the configuration file located at ~/.openclaw/config/voice-to-protocol-transcriber.json. To start a recording session for a specific experiment, run:
openclaw skill voice-to-protocol-transcriber --experiment "Lab-Session-001"
Voice-to-Protocol Transcriber Data Schema & Taxonomy
The skill generates structured experiment records based on the following data taxonomy:
| Attribute | Description |
|---|---|
| Experiment Metadata | Includes name, date, and recorder identification. |
| Steps | Operational procedures categorized by the Step voice trigger. |
| Observations | Real-time findings categorized by the Observed trigger. |
| Notes | Supplemental details or reminders captured during the session. |
| Timestamps | Automated ISO-formatted time markers for every individual entry. |
Voice-to-Protocol Transcriber Advanced Features
- Intelligent classification that automatically sorts speech into structured protocol headers.
- Multi-language support to accommodate global research environments, including English and Chinese.
- Support for multiple export formats such as Markdown, Microsoft Word (.docx), and Plain Text.
- Voice-activated command control for starting, stopping, and saving records entirely hands-free.
- Integration-ready Python API for embedding transcription capabilities into custom lab automation software.
- Automated timestamping for every recorded action to ensure precise experimental audit trails.
SKILL.md
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