A comprehensive, free music discovery tool integrating multiple APIs for search, lyrics, global radio, and concert information without requiring authentication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install music-discovery-app
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install music-discovery-app using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Music Discovery App?
The music-discovery-app is a robust Openclaw Skills integration designed to provide a centralized hub for musical exploration. It leverages a collection of free, no-auth APIs to deliver a high-performance experience for discovering songs, reading lyrics, and accessing global radio stations. By utilizing a modern tech stack, it serves as an excellent template for developers looking to build media-rich applications using AI-driven workflows.
This skill is engineered for versatility, offering a clean separation between a Next.js 14 frontend and a FastAPI backend. It emphasizes security and best practices, making it a reliable choice for users within the Openclaw Skills ecosystem who want to explore music metadata and live events without the friction of managing multiple API keys.
Music Discovery App Use Cases
- Creating a personal music dashboard for searching tracks and albums.
- Building a lyric retrieval system for karaoke or educational applications.
- Integrating a global radio streaming feature into existing productivity tools.
- Monitoring upcoming concert dates and artist events via live API feeds.
- Developing a reference implementation for multi-API orchestration in a web app.
How Music Discovery App Works
- The user initiates a request via the Next.js frontend or directly through the FastAPI backend endpoints.
- The backend server receives the request and utilizes the httpx library to fetch data from relevant external APIs (iTunes, Lyrics.ovh, MusicBrainz, etc.).
- The FastAPI service processes the raw response, applying Pydantic models to ensure data integrity and structure.
- Refined data is sent back to the frontend, where TailwindCSS and React 18 render a responsive, modern user interface.
- For global radio content, the app connects to the Radio Browser API to stream station metadata and status directly to the client.
Music Discovery App Setup
Prerequisites
Ensure you have Node.js 18+ and Python 3.11+ installed on your system.
1. Clone the Repository
git clone <repository-url>
cd music-discovery-app
2. Backend Installation
cd backend
pip install -r requirements.txt
python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
3. Frontend Installation
cd ../frontend
npm install
npm run dev
Access the application at http://localhost:3000 once both services are running.
Music Discovery App Data Schema & Taxonomy
The skill organizes data through a structured API gateway that maps external sources to internal endpoints. Below is the primary data mapping used in this Openclaw Skills project:
| Feature | Source API | Key Data Points |
|---|---|---|
| Music Search | iTunes Search | Artist Name, Track Name, Collection, Artwork |
| Lyrics | Lyrics.ovh | Song Title, Artist, Raw Lyric Text |
| Metadata | MusicBrainz | MBID, Release Dates, Detailed Discography |
| Radio | Radio Browser | Station Name, Stream URL, Tags, Country |
| Events | Bandsintown | Venue, Date, Ticket Status, Location |
All internal data is validated via Pydantic to ensure the frontend receives consistent JSON objects.
Music Discovery App Advanced Features
- Multi-source API orchestration for consolidated search results.
- Integrated health check endpoints (
/api/health) for automated monitoring. - Pre-configured CORS policies for secure cross-origin resource sharing.
- Rate-limiting capabilities to protect backend resources from excessive requests.
- Full support for mobile-responsive design and desktop-class layouts.
SKILL.md
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