seedance-20-prompt-optimizer

Refine vague prompts into structured Seedance 2.0 prompts with explicit references.

1|Updated Apr 22, 2026

Search Tags:#workflow #multimodal #prompt-engineering #prompt-optimization #ai-prompt #seedance

Ready to run

npx skills add https://github.com/unrealandychan/AgentFoundry --skill seedance-20-prompt-optimizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: seedance-20-prompt-optimizer
Source: https://github.com/unrealandychan/AgentFoundry/tree/main/skills/seedance-20-prompt-optimizer
Command: npx skills add https://github.com/unrealandychan/AgentFoundry --skill seedance-20-prompt-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill functions as a multimodal prompt director, intercepting low-quality prompts and guiding users to rewrite them into high-quality engineered prompts based on the Seedance 2.0 framework (three-section structure, eight core elements, multimodal reference control).

Core Features & Use Cases

Analyze prompts to identify missing core elements (subject, action, setting, style) and propose a structured rewrite.
Support multimodal inputs (text, image, video) and assets to anchor prompts with concrete references.
Use Case: Convert a rough prompt like "cyberpunk girl dancing" into a detailed, unambiguous Seedance 2.0 prompt with explicit references and controls.

Quick Start

Provide a rough prompt and any multimodal references to generate a high-quality Seedance 2.0 optimized prompt.

Frequently Asked Questions about seedance-20-prompt-optimizer

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

FAQPage Schema

How do I optimize a rough prompt into a structured multimodal prompt?▼

To optimize a rough prompt into a structured multimodal prompt, provide your initial text along with any image or video references. The system analyzes missing core elements like subject, action, and setting, then proposes a structured rewrite with explicit asset references.

What is the Seedance 2.0 framework for prompt engineering?▼

The Seedance 2.0 framework for prompt engineering is a structure using three sections, eight core elements, and multimodal reference control. It transforms vague inputs into high-quality prompts with anti-ambiguity constraints and explicit asset anchors.

How do I convert a vague text prompt into a detailed video generation prompt?▼

To convert a vague text prompt into a detailed video generation prompt, submit your rough idea and any multimodal references. The system identifies missing elements and applies clarifying questions to rewrite it into an unambiguous, structured output.

Does this prompt optimization workflow support image and video references?▼

Yes, this prompt optimization workflow supports image and video references. It functions as a multimodal prompt director, anchoring your text with concrete references to ensure the final output has explicit asset controls.

Why does my AI prompt produce ambiguous or low-quality multimodal results?▼

Your AI prompt produces ambiguous multimodal results when it lacks core elements like subject, action, setting, and style. Applying a structured framework with anti-ambiguity constraints and explicit references resolves this issue.

What is the best way to add anti-ambiguity constraints to AI prompts?▼

The best way to add anti-ambiguity constraints to AI prompts is to follow a structured framework with eight core elements and multimodal reference control. This ensures your output contains explicit asset references and clear structural sections.