A high-performance AI skill for turning product photos and still images into smooth 1080p animated video clips via cloud-based GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-ai-image
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 ai-ai-image 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 AI Image to Video — Animate Images into Video Clips?
This skill enables AI coding agents to process visual media, specifically converting static JPG, PNG, or WEBP images into high-quality MP4 videos. By leveraging remote GPU nodes, it handles the heavy lifting of video composition and compression, allowing developers to generate marketing content or social clips directly through natural language prompts without local overhead.
Using Openclaw Skills like this one, you can automate the entire pipeline from file upload to final export. The skill manages session states, credit balances, and complex timeline drafts behind the scenes, ensuring that even users without video production experience can achieve professional results in under 60 seconds. It acts as a bridge between static assets and dynamic video content.
AI Image to Video — Animate Images into Video Clips Use Cases
- Transforming product photography into cinematic 1080p marketing videos.
- Converting a series of static images into social media ready MP4 or MOV clips.
- Automating video editing tasks such as adding background music or text overlays to still assets.
- Rapid prototyping of video content using natural language commands like turn my still images into a smooth animated video.
How AI Image to Video — Animate Images into Video Clips Works
- The skill initializes a session by acquiring an anonymous or provided NEMO_TOKEN and creating a task-specific session ID.
- Users upload their source images (JPG, PNG, etc.) to the cloud storage via the multipart upload endpoint.
- Natural language instructions are sent via a Server-Sent Events (SSE) stream to process the draft timeline on remote GPU nodes.
- The skill interprets the backend's GUI-style instructions (like click or drag) and maps them to internal API actions or state updates.
- Once the edit is finalized, a render proxy is triggered to compile the final video file.
- The system polls the render status every 30 seconds until a download URL for the finished 1080p MP4 is provided.
AI Image to Video — Animate Images into Video Clips Setup
To get started with this skill, ensure you have your environment configured. If you do not have a token, the skill can generate an anonymous one for you automatically.
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# The skill looks for configuration in ~/.config/nemovideo/
# X-Skill-Platform is detected automatically from install path
Ensure your local agent has access to the internet to reach the mega-api-prod.nemovideo.ai endpoints for GPU rendering.
AI Image to Video — Animate Images into Video Clips Data Schema & Taxonomy
The skill organizes data using a session-based draft system. The draft JSON is optimized for speed using short-key mappings to manage the timeline.
| Key | Definition | Description |
|---|---|---|
| t | Tracks | Array of media layers (video, audio, text) |
| tt | Track Type | 0 = Video, 1 = Audio, 7 = Text |
| sg | Segments | Specific clips or blocks within a track |
| d | Duration | Length of the segment in milliseconds |
| m | Metadata | Additional properties for the asset |
All session IDs and render job tracking are managed within the Openclaw Skills framework to maintain persistent states across interactions.
AI Image to Video — Animate Images into Video Clips Advanced Features
- Multi-track timeline management for combining video, audio, and text layers into a single composition.
- Automated anonymous token generation with a 100-credit starting balance for new users.
- Robust error handling for rate limits (429), expired tokens (1001), and credit exhaustion (2001).
- SSE event handling that maintains session state even when the stream returns no explicit text updates.
- Platform-specific attribution and header detection (Cursor, Clawhub, etc.) to ensure seamless API compatibility.
SKILL.md
Loading
Related Openclaw Skills
Alibaba Cloud Avatar Video & Speech
A comprehensive AI multimedia suite for creating talking-head videos, full-body animations, and high-fidelity speech synthesis via Alibaba Cloud APIs.
In-Person Prospecting Route Planner
A strategic field sales tool that organizes prospecting stops around existing appointments using the Hub-and-Spoke routing system.
Prospect List Tiering
A strategic sales skill that prioritizes prospect lists into a six-level pyramid to identify active buying windows and maximize daily calling efficiency.
APM Product Management API
A comprehensive suite of 33 endpoints for full-lifecycle product management on the APM platform, featuring admin controls and advanced user search capabilities.
Jupyter Helper
A powerful utility for managing, converting, and debugging Jupyter notebooks through an AI-enhanced interface.
A-Stock Holding Monitor
A specialized monitoring script designed to track A-share stock positions with automated alerts for price targets, support levels, and abnormal volatility.
Featured*
