Setup & Installation
openclaw skills install @iyeque/iyeque-audio-processing
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install iyeque-audio-processing
What This Skill Does
A toolset for audio ingestion, analysis, transformation, and generation. Supports speech-to-text via OpenAI Whisper, text-to-speech via Google TTS, feature extraction, voice activity detection, and audio transformations like trimming and resampling. File paths are validated and system directories are blocked.
Combines transcription, synthesis, VAD, and transformation in one unified tool instead of wiring together separate CLI tools manually.
When to use it
- Transcribe a recorded meeting or interview to text
- Generate spoken audio from a script or document
- Find speech segments in a long audio file
- Extract acoustic features for audio classification
- Trim and normalize audio clips for editing pipelines
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Transcribe this podcast episode and find where people are speaking
AGENT
- 1Run vad_segments on the audio file to detect speech segments
- 2Review segment timestamps to identify active speech regions
- 3Run transcribe with the base Whisper model on the full file
- 4Return transcript text along with segment-level timestamps
OUTPUT
Full transcript with time-coded speech segments