A professional AI music generation tool specifically optimized for creating rap lyrics and vocal-heavy hip-hop tracks via Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rapper
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 rapper 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 SenseAudio AI Rapper?
The SenseAudio AI Rapper skill allows developers to integrate advanced rap and hip-hop generation capabilities into their AI agents. By leveraging the SenseAudio Open Platform, this skill facilitates the creation of original lyrics, style-controlled vocal tracks, and full musical compositions. It provides a structured interface for handling the complexities of asynchronous API polling, ensuring that your Openclaw Skills can reliably deliver production-ready audio assets, cover art, and synchronized lyrics.
This skill is particularly effective for workflows requiring precise control over musical subgenres like trap, boom bap, or drill. It automates the lifecycle of song creation from initial prompt to final asset delivery, making it an essential component for media-focused agentic applications.
SenseAudio AI Rapper Use Cases
- Generating custom rap or hip-hop lyrics from simple text prompts.
- Converting existing bars or choruses into high-quality vocal songs with AI-generated backing tracks.
- Fine-tuning musical output by controlling vocal gender, style weight, and instrumental modes.
- Streamlining the development of music-generation bots by automating task polling and status checks.
- Debugging and refining SenseAudio API requests within Openclaw Skills environments.
How SenseAudio AI Rapper Works
- Requirement Analysis: The agent identifies the user's intent, distinguishing between lyric-only, lyrics-to-song, or full-generation requests.
- Initial Request: The skill triggers the appropriate SenseAudio endpoint (lyrics/create or music/create) using a minimal valid body with the sensesong provider.
- Async Management: Upon receiving a task_id, the skill initiates a polling loop targeting the matching pending endpoint.
- Creative Steering: If specified, the skill applies advanced parameters such as style_weight, vocal_gender, or negative_tags to the request.
- Result Extraction: Once the status reaches SUCCESS, the skill parses the response to retrieve the audio_url, cover_url, and final lyrics metadata.
SenseAudio AI Rapper Setup
To utilize this skill, you must obtain an API key from the SenseAudio Open Platform. Configure your environment as follows:
export SENSEAUDIO_API_KEY="your_senseaudio_api_key"
Ensure this environment variable is accessible to your Openclaw Skills runtime to authorize music generation requests.
SenseAudio AI Rapper Data Schema & Taxonomy
The skill manages data across several asynchronous stages, primarily focusing on the following structure:
| Data Type | Key Fields | Description |
|---|---|---|
| Lyrics Response | text, title | The generated rap lyrics and associated song title. |
| Song Response | audio_url, cover_url | Direct links to the generated MP3 file and album art. |
| Metadata | duration, task_id | Technical details including song length and tracking identifiers. |
| Control Tags | style, vocal_gender | Configuration parameters for the AI model's vocal and melodic output. |
SenseAudio AI Rapper Advanced Features
- Advanced subgenre targeting for rap variants such as trap, boom bap, drill, and melodic rap.
- Precise vocal control with the vocal_gender parameter (m/f) to match specific creative briefs.
- Negative tagging support to exclude unwanted instruments, tones, or lyrical themes.
- Integrated polling logic for Openclaw Skills that handles successful and failed task states gracefully.
- Style weight adjustments to steer the AI's adherence to specific rhythmic or melodic instructions.
SKILL.md
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