
Video Generation
Turns text prompts into video clips using a structured JSON workflow that lets you specify everything from camera angles and character dialogue to audio cues and era-specific settings. You can optionally feed it a reference image to guide the visual style or anchor the first frame. The workflow is pretty hands-on: you write a detailed JSON prompt, optionally generate a reference image using the image-generation skill, then call a Python script with your parameters. Best suited for narrative scenes where you want tight control over composition and storytelling elements rather than quick throwaway clips. The JSON structure feels verbose but pays off when you need reproducible results or want to iterate on specific aspects like camera movement or audio layering.
- skills.sh installs
- 3K
- GitHub stars
- 85.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bytedance/deer-flow --skill video-generation --agent claude-codeInstalls into .claude/skills of the current project.
Files
Video Generation Skill
Overview
This skill generates high-quality videos using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing video generation with optional reference image.
Core Capabilities
- Create structured JSON prompts for AIGC video generation
- Support reference image as guidance or the first/last frame of the video
- Generate videos through automated Python script execution
Workflow
Step 1: Understand Requirements
When a user requests video generation, identify:
- Subject/content: What should be in the image
- Style preferences: Art style, mood, color palette
- Technical specs: Aspect ratio, composition, lighting
- Reference image: Any image to guide generation
- You don't need to check the folder under
/mnt/user-data
Step 2: Create Structured Prompt
Generate a structured JSON file in /mnt/user-data/workspace/ with naming pattern: {descriptive-name}.json
Step 3: Create Reference Image (Optional when image-generation skill is available)
Generate reference image for the video generation.
- If only 1 image is provided, use it as the guided frame of the video
Sponsors
Details
- Repository
- github.com/bytedance/deer-flow
- Category
- Generative Media
- First seen
- Apr 16, 2026
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