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ai-video

Build and execute skills.video video generation REST requests from OpenAPI specs. Use when user needs to create, debug, or document video generation calls on open.skills.video.

Why use this skill?

Automate your video generation workflows on skills.video using the OpenClaw ai-video skill. Easily parse OpenAPI specs and manage SSE API calls.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/chuyun/ai-video
Or

What This Skill Does

The ai-video skill is a powerful extension for OpenClaw that enables users to programmatically interact with the skills.video platform. It serves as an intelligent bridge between OpenAPI specifications and real-time video generation API calls. By automating the parsing of OpenAPI definitions, the skill removes the manual burden of constructing request payloads, managing authentication headers, and handling complex asynchronous streaming endpoints (SSE). It is designed to ensure that video generation requests are deterministic, syntactically correct, and compliant with the latest version of the target model's API.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/chuyun/ai-video

Once installed, ensure you have your API key from the skills.video developer dashboard. You can configure it by adding SKILLS_VIDEO_API_KEY to your environment variables or via the OpenClaw skill configuration settings. For persistent usage, add the export command to your shell profile (e.g., .bashrc or .zshrc) to ensure the agent always has access to your credentials.

Use Cases

This skill is ideal for developers and content creators who need to integrate video synthesis into their workflows. It is particularly useful for building automated video pipelines, debugging API request structures, and prototyping new prompts for various video generation models available on the skills.video platform. It handles the transition between SSE streams and standard REST polling, ensuring you only receive terminal status updates.

Example Prompts

  1. "Generate a 5-second cinematic drone shot of a futuristic Tokyo street at night using the Kling v2.6 model."
  2. "Inspect the OpenAPI definition for the latest video generation endpoints and create a request template for a motion-based animation."
  3. "Run a video generation task with these parameters and keep polling the status until it is successfully completed."

Tips & Limitations

Always check your API key connectivity first by running the provided ensure_api_key.py script. The skill prefers deterministic extraction from openapi.json files; avoid manual payload guessing where possible. Note that the skill is specifically optimized for skills.video architectures and expects standard SSE behaviors. If a generation task takes a long time, the skill will automatically switch to polling the /generation/{id} endpoint to track progress. Ensure your environment has network access to the platform endpoints for uninterrupted execution.

Metadata

Author@chuyun
Stars3562
Views1
Updated2026-03-29
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-chuyun-ai-video": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#video-generation#api-integration#sse#openapi#automation
Safety Score: 4/5

Flags: network-access, external-api, code-execution