A comprehensive multimedia generation skill providing unified access to state-of-the-art AI models for video, image, and music creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install monet-ai
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 monet-ai 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 Monet AI Content Generation Skill?
The Monet AI skill is a robust integration for the ecosystem of Openclaw Skills, designed to empower AI agents with professional-grade creative capabilities. It serves as a single gateway to the world's most advanced generative models, including Sora for cinematic video, Flux and GPT-4o for photorealistic images, and MiniMax for original music composition.
This skill enables developers to build sophisticated, multi-model workflows where an agent can orchestrate the entire production process—from generating a background track to creating a synchronized high-definition video. By abstracting the complexities of individual model APIs into a unified task-based system, it provides a streamlined experience for building intelligent, content-aware automation.
Monet AI Content Generation Skill Use Cases
- High-end cinematic video production using Sora and Kling for marketing or film projects.
- Consistent character and brand asset generation using Nano Banana and Google Gemini models.
- Rapid prototyping of social media content with fast-generation models like Veo and Wan Flash.
- Automated music and lyric creation for background tracks in digital advertising.
- Advanced video editing tasks including character replacement and motion capture transfer.
How Monet AI Content Generation Skill Works
- The AI agent initiates a task by preparing text prompts and optional reference images or videos.
- Local assets are uploaded to the Monet storage system to generate temporary online URLs required for processing.
- An asynchronous task is created using a specific model and a required idempotency key to ensure reliability.
- The agent polls the task status API or listens to a streaming SSE connection to monitor generation progress.
- Upon completion, the skill retrieves the permanent output URLs for the generated video, image, or audio file.
Monet AI Content Generation Skill Setup
To integrate this capability into your workflow, follow these steps:
- Register for an account at monet.vision.
- Generate a new API Key in the user dashboard under the skills/keys section.
- Configure your environment by setting the required variable:
export MONET_API_KEY="your_private_api_key"
Monet AI Content Generation Skill Data Schema & Taxonomy
The Monet AI skill utilizes a structured task-based data schema to manage complex generations within Openclaw Skills:
| Attribute | Description |
|---|---|
| Task ID | A unique string identifier for tracking the generation job. |
| Status | Current state of the asset (pending, processing, success, or failed). |
| Idempotency Key | A required unique value used to prevent duplicate tasks during retries. |
| Output Array | Contains model-specific metadata, progress percentages, and asset URLs. |
| File Expiration | Uploaded reference files are automatically purged after 24 hours. |
Monet AI Content Generation Skill Advanced Features
- Precision Motion Control: Replicate specific movements from reference videos using the Kling motion capture engine.
- Character Replacement: Seamlessly swap characters in existing videos while maintaining background and motion consistency.
- Multi-Shot Capability: Generate complex video sequences with automatic shot switching and audio synchronization.
- High-Resolution Rendering: Support for professional 2K, 3K, and 4K image outputs for print and large-scale digital displays.
- Intelligent Visual Reasoning: Utilize Seedream models for complex compositions that require deep semantic understanding.
SKILL.md
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