Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transcribe audio files (ogg, mp3, wav, etc.) using AIMLAPI. Use when the user provides audio messages or local audio files. Provides a reliable Python script...
Transcribe audio files (ogg, mp3, wav, etc.) using AIMLAPI. Use when the user provides audio messages or local audio files. Provides a reliable Python script...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
A robust skill for transcribing audio via AIMLAPI's specialized speech-to-text endpoints. It handles queuing, polling for results, and automatic MIME-type detection.
# Set your API key first (if not in env) # export AIMLAPI_API_KEY="your-key-here" # Transcribe a file python {baseDir}/scripts/transcribe.py path/to/audio.ogg
When an audio file is received, use this script to extract the text. python {baseDir}/scripts/transcribe.py <file_path> \ --model "#g1_whisper-medium" \ --verbose
file: (Required) Path to the audio file. --model: Model ID (default: #g1_whisper-medium). --out: Path to save the transcript text. --poll-interval: Seconds between status checks (default: 5). --max-wait: Stop waiting after N seconds (default: 300).
Python 3 AIMLAPI_API_KEY set in environment or provided via --apikey-file.
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Largest current source with strong distribution and engagement signals.