An advanced video generation skill leveraging MiniMax Hailuo 2.3 to create cinematic AI videos from text prompts or static images.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hailuo-video
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install hailuo-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Hailuo Video skill brings the state-of-the-art MiniMax Hailuo 2.3 model series to your AI agent, enabling the creation of high-fidelity video content. This skill allows users to transform natural language descriptions or existing images into dynamic, professional-grade videos. By utilizing Openclaw Skills, developers can easily switch between the Fast series for rapid iterations and the Standard series for peak visual quality, including 1080p Pro resolutions.
Whether you are building a marketing automation tool or a creative assistant, this skill provides the necessary hooks to generate 6-second or 10-second video clips with realistic movement and lighting. It integrates seamlessly into the MCP ecosystem, making high-end video synthesis accessible through simple tool calls.
To integrate this skill into your workflow, ensure your AI agent has access to the MCP runtime. You will need a valid API configuration for the fal-ai provider to access the MiniMax models.
# Example of submitting a text-to-video task
mcp call hailuo-video submit_task --model_id "fal-ai/minimax/hailuo-2.3/pro/text-to-video" --prompt "A cinematic shot of a cyberpunk city in the rain"
# Example of checking task status
mcp call hailuo-video get_task --task_id "YOUR_TASK_ID"
The skill organizes its operations through a task-based system described in the following schema:
| Property | Type | Description |
|---|---|---|
| model_id | string | The specific Hailuo 2.3 model variant used |
| task_id | string | Unique identifier for tracking the generation |
| status | string | The lifecycle state: pending, processing, completed, or failed |
| prompt | string | The descriptive text used to guide the video synthesis |
| image_url | string | The source image URL (required for image-to-video) |
| duration | string | Length of the video ("6" or "10" seconds) |
| result | object | Contains the final .mp4 URL and metadata upon success |
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