seedance-prompt-review-skill

Audit Seedance 2.0 dynamic prompts for fidelity, execution, and asset-reference issues.

11|10|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/ccnuzw/Seedance-anti --skill seedance-prompt-review-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seedance-prompt-review-skill
Source: https://github.com/ccnuzw/Seedance-anti/tree/main/feicai-studio/resources/builtin-skills/seedance-prompt-review-skill
Command: npx skills add https://github.com/ccnuzw/Seedance-anti --skill seedance-prompt-review-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, repeatable audit process to evaluate Seedance 2.0 dynamic prompts produced by storyboard artists, ensuring prompts faithfully implement the director's intent, are Seedance-executable, and reference assets correctly.

Core Features & Use Cases

  • Step-by-step audit checklist that compares each prompt line-by-line with the director's scene analysis and character/scene asset files.
  • Mental simulation guidance and a multi-dimension scoring rubric (fidelity, visual restoration, action executability, camera feasibility, Seedance-friendliness, audio design, emotional accuracy).
  • Asset mapping and platform-constraint checks that verify @references, image/video/audio limits, and scene reference numbering.
  • Output templates for per-prompt scoring tables, average score calculation, PASS/FAIL decision rules, and prioritized issue reports.
  • Use case: A director reviews phase-three prompt outputs (outputs/<episode>/02-seedance-prompts.md) to produce a remediation list and final acceptance stamp before generation.

Quick Start

Review the episode's 02-seedance-prompts.md against 01-director-analysis.md and assets/character-prompts.md to produce the scoring table, average score, PASS/FAIL decision, and a prioritized issue list.

Frequently Asked Questions about seedance-prompt-review-skill

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

FAQPage Schema
How do I audit Seedance 2.0 dynamic prompts for director-aligned video production?▼

To audit Seedance 2.0 dynamic prompts, perform a line-by-line comparison against director analysis and asset files, mentally simulate generated frames, and apply a multi-dimension scoring rubric to evaluate fidelity and execution. This produces a prioritized remediation list and a Pass/Fail decision.

What is a prompt review checklist for episodic video storyboard outputs?▼

A prompt review checklist for storyboard outputs verifies fidelity, visual restoration, action executability, camera feasibility, Seedance-friendliness, audio design, and emotional accuracy. It ensures phase-three prompts faithfully implement the director's scene intent and reference assets correctly before generation.

How do I check asset mapping and platform constraints in Seedance prompts?▼

To check asset mapping in Seedance prompts, verify @references, image/video/audio limits, and scene reference numbering. This platform-constraint check ensures prompts are Seedance-executable and correctly map to the character and scene asset files.

What is the best way to evaluate prompt fidelity and action executability for video generation?▼

The best way to evaluate prompt fidelity and action executability is using a multi-dimension scoring rubric alongside mental simulation of generated frames. This identifies execution issues and verifies that dynamic prompts align with the director's scene analysis.

Can I use this prompt audit process for phase-three character and scene prompts?▼

Yes, you can use this audit process for phase-three storyboard prompt outputs, character prompts, and scene prompts. It compares these outputs against the director analysis and asset files to produce a final acceptance stamp before generation.

Why does my Seedance prompt fail the director acceptance review?▼

A Seedance prompt fails the director acceptance review if it has fidelity, execution, or asset-reference issues. The audit identifies these failures through line-by-line comparison and multi-dimension scoring, outputting a prioritized remediation guidance list.