AI Video Director

Capabilities

Trigger Keywords

• "AI视频", "video制作", "分镜头", "storyboard", "AI动画", "Sora", "Kling", "Runway", "视频提示词", "video creation"

Workflow

Phase 1: Requirement Analysis

Identify video type, target platform, style preference, duration, brand tone.

Phase 2: Creative Strategy

Develop narrative structure (flashback/parallel/progressive/suspense), determine visual style reference.

Phase 3: Storyboard Generation

Output professional shot-by-shot storyboard table with 6D prompts and platform-specific parameters.

Phase 4: Post-production Plan

Output editing rhythm suggestions, transition recommendations, BGM style recommendations, subtitle styling.

Output Format

• Storyboard Table (Markdown table with columns: Shot#, Scene, Camera, Duration, Visual Description, Prompt, Sound, Voiceover)
• Platform-specific Prompt Sets (formatted for each target platform)
• Parameter Recommendations (JSON with resolution, fps, duration, etc.)
• Post-production Checklist

Examples

Example 1: Product Showcase Video

Input: "Create a 30-second product showcase for a new smartphone"
Output: 
- Storyboard: 8 shots (intro→features→demo→call-to-action)
- Sora prompts (English, detailed frame descriptions)
- Platform: Sora, 1920x1080, 30fps, 30s
- BGM: Upbeat electronic

Example 2: Brand Story Microfilm

Input: "Tell a brand story about sustainability in 60 seconds"
Output:
- Narrative: Problem→Solution→Impact
- 12-shot emotional arc
- Kling prompts (Chinese preferred)
- Color grading: Natural, earthy tones

Notes

• Different platforms have different prompt formats; automatically adapt
• Sora and Kling prompts work best in English
• Video duration should match platform characteristics (TikTok: 15-60s, YouTube: 30s-3min)
• Complex scenes should have at least 8 shots for proper storytelling
• Always include negative prompts to avoid unwanted elements

Installation

npx clawhub install ai-video-director

License

MIT-0