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AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Recognize songs by singing or audio file using iFlytek's Query By ACRCloud technology.
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 dzy-1026/xfyun-song-recInspect 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.
Recognize songs by singing, or audio file using iFlytek's advanced Query By ACRCloud technology.
Designed for music identification, song discovery, and audio recognition scenarios.
Using audio file path:
python {baseDir}/scripts/index.py "<audio_path>"
Examples:
python {baseDir}/scripts/index.py "humming.wav"
Required:
export XF_SONG_APP_ID=your_app_id
export XF_SONG_API_KEY=your_api_key
export XF_SONG_API_SECRET=your_api_secret
Or configure it in ~/.openclaw/openclaw.json:
{
"env": {
"XF_SONG_APP_ID": "your_app_id",
"XF_SONG_API_KEY": "your_api_key",
"XF_SONG_API_SECRET": "your_api_secret"
}
}
Returns JSON response with:
Future enhancements may include:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 🎵 Song Recognition
Recognize songs by singing, or audio file using iFlytek's advanced Query By ACRCloud technology.
Designed for music identification, song discovery, and audio recognition scenarios.
---
## ✨ Features
- Singing recognition
- Audio file recognition
- High-accuracy song matching
- Real-time synchronous detection
- Multiple audio format support
- URL and file path input support
---
## 🚀 Usage
**Using audio file path:**
```bash
python {baseDir}/scripts/index.py "<audio_path>"
```
Examples:
```
python {baseDir}/scripts/index.py "humming.wav"
```
## 📋 Input Specification
### Audio Requirements
- Supported formats: MP3
- Sample rate: 16000Hz
- Audio encoding: lame
- Duration: 5-30 seconds recommended
- singing melody
---
## ⚠ Constraints
- Audio must contain clear melody
- API credentials must be configured
- Network connection required
- Synchronous processing - instant results
- Audio quality affects recognition accuracy
---
## 🔧 Environment Setup
Required:
- Python available in PATH
- Environment variables configured:
```bash
export XF_SONG_APP_ID=your_app_id
export XF_SONG_API_KEY=your_api_key
export XF_SONG_API_SECRET=your_api_secret
```
Or configure it in `~/.openclaw/openclaw.json`:
```json
{
"env": {
"XF_SONG_APP_ID": "your_app_id",
"XF_SONG_API_KEY": "your_api_key",
"XF_SONG_API_SECRET": "your_api_secret"
}
}
```
---
## 📦 Output
Returns JSON response with:
- Song name
- Artist name
- Album information
- Confidence score
- Match details
---
## 🎯 Target Use Cases
- Music identification apps
- Song discovery platforms
- Karaoke applications
- Music education tools
- Audio content recognition
- Copyright detection
- Music search engines
---
## 🛠 Extensibility
Future enhancements may include:
- Batch audio processing
- Real-time streaming recognition
- Custom music library
- Multi-lan...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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