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aimlapi-voice
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 with retries and polling.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install aimlapihello/aiml-voiceInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Skill instructions
AIMLAPI Voice Transcription
Overview
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.
Quick Start
# 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
Tasks
Process Voice Messages
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
Arguments
-
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).
Dependencies
- Python 3
-
AIMLAPI_API_KEYset in environment or provided via--apikey-file.
Source information
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/aimlapihello/aiml-voice
- Version
- —
- Commit
- 58c9a9a6a958b31db66fbc36e7e6ae0f92ec1a71
- Classification source
- rules
- Status
- active
- Visibility
- public
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Extracted content
SKILL.md
# AIMLAPI Voice Transcription
## Overview
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.
## Quick Start
```bash
# 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
```
## Tasks
### Process Voice Messages
When an audio file is received, use this script to extract the text.
```bash
python {baseDir}/scripts/transcribe.py <file_path> \
--model "#g1_whisper-medium" \
--verbose
```
### Arguments
- `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).
## Dependencies
- Python 3
- `AIMLAPI_API_KEY` set in environment or provided via `--apikey-file`.Related skills
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