An AI-powered script optimizer that converts narrative plots into structured 9-segment visual scripts specifically for Seedance video generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seedance-3x3-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install seedance-3x3-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Seedance 3x3 Optimizer?
The Seedance 3x3 Optimizer is a sophisticated technical tool designed to translate abstract narrative text into concrete, high-impact visual storyboards. By applying the 3x3 rule, it divides stories into nine distinct segments that follow a narrative curve, ensuring that every beat is optimized for visual clarity and emotional resonance. This skill is a vital addition for creators using Openclaw Skills to streamline their video production workflows, replacing vague descriptions with precise camera, lighting, and texture cues.
Whether you are dealing with high-octane action or subtle emotional shifts, this tool ensures your script is production-ready for AI video generators. By enforcing strict visual-only descriptions, the Seedance 3x3 Optimizer removes the ambiguity often found in prose, allowing for more consistent and professional AI-generated video outputs.
Seedance 3x3 Optimizer Use Cases
- Converting raw story ideas into 9-segment visual scripts for cinematic AI video production.
- Enhancing script visuality by replacing abstract emotions with concrete physical and lighting cues.
- Structuring action sequences and emotional dramas into professional 3x3 narrative curves.
- Automating the scriptwriting phase for content creators leveraging Openclaw Skills for high-volume video generation.
How Seedance 3x3 Optimizer Works
- The system analyzes the input plot to determine the optimal mode: action-based or emotion-based.
- It extracts core narrative elements including characters, settings, central conflicts, and key actions.
- The engine generates nine distinct visual segments, each containing 50-120 words of descriptive text.
- Detailed visual parameters such as camera distance, physical textures, and lighting contrasts are integrated into every segment.
- The final output is delivered in Markdown or JSON format, optimized for direct use in Seedance or other AI video platforms.
Seedance 3x3 Optimizer Setup
To utilize this skill within the Openclaw Skills environment, execute the optimization script via the command line as shown below:
python3 /home/ubuntu/.openclaw/workspace/skills/seedance-3x3-optimizer/scripts/optimize_story.py \
--story "A young hero faces a betrayal and ultimately rises to power" \
--mode action \
--title "Hero's Ascent" \
--style "Cinematic Epic"
For developers needing programmatic access, the JSON flag can be enabled:
python3 /home/ubuntu/.openclaw/workspace/skills/seedance-3x3-optimizer/scripts/optimize_story.py \
--story "A story about a falling out between friends" \
--mode emotion \
--json
Seedance 3x3 Optimizer Data Schema & Taxonomy
The skill organizes script data into a nine-part structural taxonomy based on the selected mode:
| Phase | Action Mode | Emotion Mode |
|---|---|---|
| Segments 1-3 | Confrontation / Stand-off | Harmony / Peace |
| Segments 4-6 | Explosion / Climax | Cracks / Friction |
| Segments 7-9 | Conclusion / Resolution | Breakup / Departure |
Each segment is required to include at least one 'filmanble' element:
- Camera/Lens (Push-in, Wide-angle, Close-up, Back-shot)
- Physical Detail (Debris, Mist, Sweat, Cracks, Fabric textures)
- Color/Light Contrast (Warm vs. Cold, High-contrast, Specific color palettes)
Seedance 3x3 Optimizer Advanced Features
- Dual-mode processing tailored for either physical action or internal emotional narratives.
- Automated extraction of visual metadata to improve prompt engineering accuracy within Openclaw Skills.
- Support for custom cinematic styles and specific lens pacing instructions.
- Native JSON output support for seamless integration into larger automated content pipelines.
SKILL.md
Loading
Related Openclaw Skills
Reminder Secretary
A natural-language personal assistant that captures events into a git-synced workspace and schedules automated Telegram notifications.
Knowledge Base Collector
A versatile tool for archiving URLs and screenshots into a tag-first, searchable personal knowledge base.
DB Read-Only Skill
A secure interface for executing read-only SQL queries against PostgreSQL and MySQL databases without risk of data modification.
Claw Roam
A Git-powered synchronization engine to keep your AI agent workspace consistent across local machines and remote servers.
Fence Quote Calculator
A precision material takeoff tool for calculating fencing components including posts, rails, pickets, and hardware for wood, vinyl, and aluminum projects.
Telegram Chat to Image
A specialized utility for converting raw Telegram Desktop JSON exports into polished, long screenshot-style images using Openclaw Skills.
METADATA
Featured*
