cinema-worldbuilder

Generate Seedance video prompts with cinematography grammar and reference-based visual descriptors.

1|Updated Apr 18, 2026
One-click install
npx skills add https://github.com/CC90210/CMO-Agent --skill cinema-worldbuilder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cinema-worldbuilder
Source: https://github.com/CC90210/CMO-Agent/tree/main/skills/cinema-worldbuilder
Command: npx skills add https://github.com/CC90210/CMO-Agent --skill cinema-worldbuilder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires banana-pro-director, elite-video-production, brand-guidelines, and includes references (resource) components.

What problem does it solve?

This skill eliminates the guesswork and inconsistency in AI video generation by enforcing a strict, professional cinematography grammar that ensures high-quality, cinematic output without plastic or commercial gloss.

Core Features & Use Cases

  • Mode-Aware Direction: Automatically applies specific camera, lens, and lighting specs based on five professional cinema modes (Narrative, Studio, Action, Performance, Atmospheric).
  • Reference-Based Consistency: Extracts wardrobe, identity, and environment details from uploaded images to maintain visual DNA across shots.
  • Use Case: Use this when you need to generate a high-end music video sequence or a cinematic brand film; the skill will handle the complex camera specs, diegetic audio, and shot-by-shot timing to ensure the output looks like it was captured on professional film equipment.

Quick Start

Use the cinema-worldbuilder skill to generate a 15-second narrative scene prompt for a character in a charcoal wool coat walking through a rainy city street.

Frequently Asked Questions about cinema-worldbuilder

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

FAQPage Schema
How do I generate production-ready cinematic video prompts for the Seedance model?

To generate production-ready cinematic video prompts for the Seedance model, apply locked cinematography grammars and reference-based visual descriptors to enforce consistent lighting, movement, and lens characteristics across scenes.

How does reference-based visual consistency work for AI video generation?

Reference-based visual consistency works by extracting wardrobe, identity, and environment details from uploaded images to maintain visual DNA across multiple shots. This ensures character and environmental continuity throughout the generated sequence.

Can I apply specific camera and lighting specs for different types of cinematic video scenes?

Yes, you can apply specific camera, lens, and lighting specs by using mode-aware direction across five professional cinema modes: Narrative, Studio, Action, Performance, and Atmospheric. Each mode automatically adjusts the technical parameters.

What is the best way to avoid commercial gloss when generating AI video prompts?

The best way to avoid commercial gloss is to enforce strict diegetic audio rules and professional camera specifications within your prompts. This maintains a high-fidelity, non-commercial aesthetic that mimics professional film equipment.

Do I need uploaded images to maintain visual DNA across my AI video shots?

Yes, uploading reference images is required to extract specific wardrobe, identity, and environment details. This ensures the generated shots maintain strict visual DNA and continuity across the entire video sequence.