audio-processing

Pass

Audio ingestion, analysis, transformation, and generation (Transcribe, TTS, VAD, Features).

@openclawMIT2/22/2026
59out of 100
(0)
1.0k
45
54

Install Skill

Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.

Install globally (user-level):

npx skillhub install openclaw/skills/audio-processing

Install in current project:

npx skillhub install openclaw/skills/audio-processing --project

Suggested path: ~/.claude/skills/audio-processing/

AI Review

Instruction Quality60
Description Precision40
Usefulness72
Technical Soundness65

Scored 59 — solid Python script with 5 audio actions and strong security validation, but SKILL.md instruction structure is flat (parameter list, not workflow steps) and description lacks trigger phrases entirely.

SKILL.md Content

---
name: audio-processing
description: Audio ingestion, analysis, transformation, and generation (Transcribe, TTS, VAD, Features).
metadata:
  {
    "openclaw":
      {
        "emoji": "🎙️",
        "requires": { 
          "bins": ["ffmpeg", "python3"], 
          "pip": ["openai-whisper", "gTTS", "librosa", "pydub", "soundfile", "numpy", "webrtcvad-wheels"] 
        },
        "install":
          [
            {
              "id": "ffmpeg",
              "kind": "brew",
              "package": "ffmpeg",
              "label": "Install ffmpeg",
            },
            {
              "id": "python-deps",
              "kind": "pip",
              "package": "openai-whisper gTTS librosa pydub soundfile numpy webrtcvad-wheels",
              "label": "Install Python dependencies",
            }
          ],
      },
  }
---

# Audio Processing Skill

A comprehensive toolset for audio manipulation and analysis.

## Tool API

### audio_tool
Perform audio operations like transcription, text-to-speech, and feature extraction.

- **Parameters:**
  - `action` (string, required): One of `transcribe`, `tts`, `extract_features`, `vad_segments`, `transform`.
  - `file_path` (string, optional): Path to input audio file.
  - `text` (string, optional): Text for TTS.
  - `output_path` (string, optional): Path for output file (default: auto-generated).
  - `model` (string, optional): Whisper model size (tiny, base, small, medium, large). Default: `base`.

**Usage:**

```bash
# Transcribe
uv run --with "openai-whisper" --with "pydub" --with "numpy" skills/audio-processing/tool.py transcribe --file_path input.wav

# TTS
uv run --with "gTTS" skills/audio-processing/tool.py tts --text "Hello world" --output_path hello.mp3

# Features
uv run --with "librosa" --with "numpy" --with "soundfile" skills/audio-processing/tool.py extract_features --file_path input.wav
```