video-generation

Generate videos from structured prompts and reference images via Gemini API.

4|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/syusama/deer-flow-wechat --skill video-generation-syusama
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-generation
Source: https://github.com/syusama/deer-flow-wechat/tree/main/deer-flow/skills/public/video-generation
Command: npx skills add https://github.com/syusama/deer-flow-wechat --skill video-generation-syusama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gemini, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for video generation using structured prompts and optional reference images, providing a platform for users to create videos based on specific content and style preferences.

Core Features & Use Cases

  • Structured Prompt Creation: Offers a JSON-based interface for creating detailed prompts to guide video generation.
  • Reference Image Usage: Allows the inclusion of reference images to serve as the first or last frame of the video, or for guidance during generation.
  • Automated Video Generation: Executes video creation through a Python script that leverages a Gemini API for generating videos.
  • Use Case: For a user looking to create a video of a historical event with specific details and art style, this Skill would allow them to define those requirements and generate the video accordingly.

Quick Start

Use the video-generation skill to create a video of the 'The Chronicles of Narnia: The Lion, the Witch and the Wardrobe' opening scene, with a vintage 1940s London railway station as the background, featuring Mrs. Pevensie and Lucy Pevensie, using the reference image 'narnia-farewell-scene-01.jpg'.

Frequently Asked Questions about video-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate videos using reference images and structured prompts?

To generate videos, you provide a JSON-based structured prompt detailing your content and style preferences, optionally including a reference image to serve as the first or last frame. A Python script processes these inputs to create the AIGC video.

Can I use a reference image to guide the style and content of AIGC video creation?

Yes, you can include a reference image in your video generation request to guide the content and style. The image can specifically serve as the first or last frame of the generated video.

Do I need a Gemini API key to execute video generation scripts?

Yes, a Gemini API key is required for processing requests. The automated video generation script leverages the Gemini API to execute the video creation based on your structured prompts.

What is the best way to create a video of a historical event with a specific art style?

The best way is to use a JSON-based structured prompt interface to define your specific historical details and art style requirements. This approach guides the automated video generation to match your exact preferences.

How does structured prompt creation work for AIGC video generation?

Structured prompt creation uses a JSON-based interface to define detailed content and style parameters. This structured data guides the underlying Python script and Gemini API to accurately generate the requested video.