video-generation

Generate videos from JSON prompts and reference images via Python scripts.

Updated Aug 23, 2026

Search Tags:#video generation #structured prompts #reference images #video creation #creative production

Ready to run

npx skills add https://github.com/ainlper/dra-drb2 --skill video-generation-ainlper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-generation
Source: https://github.com/ainlper/dra-drb2/tree/main/deer-flow/skills/public/video-generation
Command: npx skills add https://github.com/ainlper/dra-drb2 --skill video-generation-ainlper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of generating high-quality videos from structured prompts and reference images, providing a tool for creative content production and visual storytelling.

Core Features & Use Cases

Structured Prompt Creation: Create JSON-formatted prompts to guide video generation.
Reference Image Usage: Incorporate reference images to guide the video generation.
Automated Video Generation: Execute Python scripts to automatically generate videos based on the prompts and images.
Use Case: Generate a video clip depicting a specific scene from a movie using a structured prompt and a reference image.

Quick Start

Use the video-generation skill to create a video based on the provided JSON prompt and reference image.

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 structured prompts and reference images?▼

To generate videos using structured prompts and reference images, you create JSON-formatted prompts and incorporate reference images to guide the automated Python scripts. This process provides detailed control over creative content production and visual storytelling.

Can I use a JSON prompt to guide automated video generation for a specific scene?▼

Yes, you can use a JSON prompt to guide automated video generation for a specific scene. By structuring your prompt details in JSON format and supplying a reference image, the Python scripts execute external APIs to generate the targeted video clip.

Does video generation with reference images require Python scripts for image processing?▼

Video generation with reference images requires Python scripts for image processing and external APIs. The workflow executes these scripts to automatically process your structured JSON prompts and reference images for detailed visual content control.

What is the best way to control creative video production from structured prompts?▼

The best way to control creative video production from structured prompts is to format them as JSON and supply reference images. This approach allows detailed guidance over the visual storytelling and ensures the automated generation matches your scene requirements.

Why use JSON-formatted prompts for creative content production and visual storytelling?▼

You use JSON-formatted prompts for creative content production to provide structured, detailed guidance to the video generation scripts. This ensures precise control over the visual storytelling elements derived from your reference images and prompt instructions.

Are there limitations when using reference images for video generation with external APIs?▼

When using reference images for video generation with external APIs, limitations may arise from the depth of the structured JSON prompt and the processing capabilities of the Python scripts. Complex scene generation depends heavily on the quality of the input guidance.