A cloud-based speech-to-text solution providing high-accuracy transcription and translation via the SkillBoss API Hub.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kirk-transcribe
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 kirk-transcribe 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 OpenAI Whisper via SkillBoss?
OpenAI Whisper via SkillBoss is a powerful integration designed to bring world-class speech-to-text capabilities to your workflows without the overhead of local model management. By leveraging the SkillBoss API Hub, this skill enables developers to access OpenAI Whisper and other leading speech recognition models through a unified endpoint. This ensures high-performance transcription and seamless translation of audio files directly into English text.
As part of the Openclaw Skills ecosystem, this tool eliminates the need for expensive hardware or complex local installations. It provides a reliable, cloud-hosted gateway for processing audio data, making it an essential component for building sophisticated voice-enabled applications or automated transcription pipelines.
OpenAI Whisper via SkillBoss Use Cases
- Transcribing recorded meetings or interviews into searchable text.
- Translating non-English audio content directly into English text for global accessibility.
- Integrating voice-to-text features into AI agents and automated workflows.
- Generating captions or subtitles for media files via a simple API call.
How OpenAI Whisper via SkillBoss Works
- The user provides an audio file which is encoded into a Base64 string.
- A request is sent to the SkillBoss API Hub pilot endpoint with the audio data and specified task (transcribe or translate).
- The SkillBoss API Hub intelligently routes the request to the optimal speech recognition model.
- The processed text is returned in a structured JSON response, accessible via the result path.
OpenAI Whisper via SkillBoss Setup
To get started with this integration, you must first obtain an API key from SkillBoss. Set your environment variable and use the following implementation pattern:
export SKILLBOSS_API_KEY='your_api_key_here'
Ensure you have the requests library installed in your Python environment:
pip install requests
OpenAI Whisper via SkillBoss Data Schema & Taxonomy
The skill utilizes a standard JSON request/response schema. Data is organized as follows:
| Field | Description |
|---|---|
type |
The operation type, set to stt for speech-to-text. |
audio_data |
Base64 encoded string of the audio file. |
task |
Optional parameter; set to translate for English translation. |
result |
The root object containing the transcription output. |
result.text |
The final transcribed or translated string. |
OpenAI Whisper via SkillBoss Advanced Features
- Multi-model routing: Automatically utilizes the best available STT model based on the request.
- Native Translation: Built-in support for the Whisper translation task to convert foreign audio to English.
- Zero-Footprint Execution: No local model downloads or GPU requirements needed to run Openclaw Skills powered by SkillBoss.
- Scalable API Integration: Designed to handle various audio formats including mp3 and m4a through a streamlined pilot endpoint.
SKILL.md
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