OpenClaw

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.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install aimlapihello/aiml-voice

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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_KEY set in environment or provided via --apikey-file.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/aimlapihello/aiml-voice
Version: —
Commit: 58c9a9a6a958b31db66fbc36e7e6ae0f92ec1a71
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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`.

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