An end-to-end automated pipeline for creating professional AI-generated music videos from lyrics generation to YouTube upload.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mv-pipeline
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 mv-pipeline 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 mv-pipeline?
The mv-pipeline is a sophisticated framework designed to automate the complex lifecycle of music video production. By leveraging Openclaw Skills, it integrates diverse AI technologies including songwriting agents, Suno for music generation, and advanced video models like Veo 3.1 or Google Flow. This skill provides a structured workflow to transform a simple concept into a fully edited, high-quality music video with synchronized lyrics.
At its core, the pipeline handles the heavy lifting of browser automation for media generation and local processing for technical tasks like audio-visual alignment. It is designed for developers and creators who want to scale their content production by using Openclaw Skills to manage multi-stage AI workflows that would otherwise require hours of manual editing and coordination.
mv-pipeline Use Cases
- Creating full-length AI music videos from a single thematic prompt.
- Automating the generation of synchronized lyric videos for social media platforms.
- Batch producing high-fidelity video clips with automated quality scoring and selection.
- Streamlining YouTube channel management through automated rendering and API-based uploads.
How mv-pipeline Works
- The process begins with automated songwriting where the agent generates lyrics and conceptual designs based on user-defined themes and genres.
- Openclaw Skills utilize browser automation to navigate Suno, input lyrics, and generate the master audio track.
- Background visuals are generated using either Google Flow via browser relay or Veo 3.1 via Vertex AI scripts.
- The audio is analyzed using stable-ts to generate precise, word-level timestamps for lyric synchronization.
- Remotion is triggered to programmatically composite the audio, video clips, and lyric overlays into a final composition.
- The completed file is automatically uploaded to YouTube using the Data API v3 and announced on SNS platforms.
mv-pipeline Setup
To get started with this pipeline, initialize your workspace and ensure your environment is configured for Openclaw Skills:
# Initialize the project structure
python3 scripts/init_project.py --name "my-song-project" --dir projects/
# Configure the browser profile for Suno automation
# browser start profile=openclaw
# Set up the Remotion editing environment
cd project_dir/edit
npx -y create-video@latest . --template blank
npm install
mv-pipeline Data Schema & Taxonomy
The mv-pipeline organizes project assets into a clean, hierarchical structure to ensure compatibility across different Openclaw Skills:
| Folder | Description | Key Files |
|---|---|---|
/lyrics |
Textual assets | lyrics_raw.txt, lyrics_formatted.txt |
/audio |
Sound assets | song.wav |
/video |
Visual clips | scene_list.yaml, /scenes/*.mp4 |
/analysis |
Metadata | aligned.json (stable-ts output) |
/edit |
Code-based editing | lyrics-timing.json, Remotion source |
/output |
Production | final.mp4 |
mv-pipeline Advanced Features
- Intelligent Video Quality Scoring: Automatically evaluates clips for sharpness, motion, and flickering to select the best footage.
- BPM Synchronization: Scripts that calculate the best intervals for video cuts based on the track's beats per minute.
- RAI Filter Evasion: Advanced prompt engineering strategies to bypass restrictive safety filters while maintaining creative intent.
- Modular Execution: Ability to run specific stages of the pipeline independently or resume from a failure point using Openclaw Skills.
SKILL.md
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