A specialized AI skill for generating high-quality vertical videos that capture the time-lapse journey of digital or traditional art from initial sketch to final masterpiece.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install art-process-video
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 art-process-video 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 Art Process Video Generation?
Art Process Video Generation is a technical workflow designed for Openclaw Skills that leverages the WeryAI API to produce compelling, short-form video content. It specifically targets the art and design niche, automating the creation of layered progression videos where lines grow denser and colors transition from rough blocks to polished details. This skill is ideal for illustrators, designers, and social media creators who need to showcase their creative journey without manual editing.
The skill excels at producing 9:16 vertical content optimized for mobile-first platforms. It handles the complex logic of prompt expansion to ensure the AI model understands the 'process' rhythm, such as time-lapse compression and stroke density. By utilizing high-tier models like KLING_V3_0_PRO, it ensures that every video has a satisfying three-beat rhythm: blocking color, detail pass, and the dramatic final reveal.
Art Process Video Generation Use Cases
- Creating art process timelapses for social media reels and art accounts.
- Generating painting-process videos starting from line art to full color using image-to-video triggers.
- Developing design creation reels that show typography and poster layouts building layer by layer.
- Producing 'speed-paint' style storytelling for avatars, character illustrations, and digital concepts.
How Art Process Video Generation Works
- The system analyzes the user's brief, subject, and preferred artistic medium.
- A mandatory prompt expansion phase transforms vague intent into a full production prompt detailing camera angles, lighting, and process stages.
- The user selects a performance tier (Best, Good, or Fast) which maps to specific models like KLING or VEO.
- A pre-submit parameter table is generated for user confirmation to ensure model limits and aspect ratios are respected.
- Upon confirmation, the Node.js script executes a request to the WeryAI API, handling the 'wait' and 'poll' loop.
- The final playable video URL is parsed and returned to the user.
Art Process Video Generation Setup
To use this skill within the Openclaw Skills framework, follow these steps:
- Ensure Node.js 18+ is installed in your environment.
- Set your mandatory API secret:
export WERYAI_API_KEY='your_api_key_here'
- Navigate to the skill directory and run the generation script via CLI:
node ./scripts/video_gen.js wait --json '{"model":"KLING_V3_0_PRO","prompt":"your_expanded_prompt","duration":10,"aspect_ratio":"9:16"}'
Art Process Video Generation Data Schema & Taxonomy
The skill organizes its technical operations and metadata using the following structure:
| Component | Description |
|---|---|
| Metadata | Includes primaryEnv (WERYAI_API_KEY) and hardware requirements defined in the Openclaw Skills manifest. |
| CLI Parameters | JSON-structured inputs including model, prompt, aspect_ratio, and duration. |
| Task Tracking | Uses task-id for polling the status of video rendering jobs. |
| Output | Returns a JSON object containing direct https URLs to the generated video assets. |
Art Process Video Generation Advanced Features
- Prompt Expansion Engine: Automatically injects technical video language (shot scale, camera moves, and lighting) into user briefs.
- Multi-Model Support: Dynamically switches between KLING_V3_0_PRO for high quality and VEO_3_1_FAST for rapid drafts.
- Seamless Loops: Supports a 'loop' parameter to create infinite art-process animations.
- Dry-Run Validation: Allows developers to test JSON payloads and prompt length limits without consuming API credits.
SKILL.md
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