seedance-filter

Diagnose Seedance 2.0 content filter rejections and rewrite prompts using the Four-Question Framework.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/clsandoval/seedance-skill --skill seedance-filter-clsandoval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seedance-filter
Source: https://github.com/clsandoval/seedance-skill/tree/main/skills/seedance-filter
Command: npx skills add https://github.com/clsandoval/seedance-skill --skill seedance-filter-clsandoval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Navigate the Seedance 2.0 content filter, diagnose false-positive rejections, and write prompts that pass. Use when a prompt is blocked, rejected, or produces generic/degraded output due to filter misjudgment. Covers filter intelligence, intent evaluation, and safe-prompting techniques.

Core Features & Use Cases

  • Diagnose how the content filter thinks and why prompts pass or fail in Seedance 2.0 contexts.
  • Learn a Four-Question Framework to craft context-rich prompts (Where/What/Camera/Atmosphere) to improve pass rates.
  • Apply in cinematic prompt engineering and safety-conscious writing to salvage blocked ideas and produce compliant prompts.

Quick Start

Describe a blocked prompt and have Seedance-filter rewrite it using the Four-Question Framework to pass.

Frequently Asked Questions about seedance-filter

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

FAQPage Schema
Why does the Seedance 2.0 content filter reject my cinematic prompts?

The Seedance 2.0 content filter blocks cinematic prompts when it misjudges intent as unsafe. Diagnosing this false-positive rejection requires evaluating narrative goals and reformulating context to clarify professional intent.

How do I rewrite a blocked prompt to pass the Seedance content filter?

To rewrite a blocked prompt and pass the Seedance content filter, apply a Four-Question Framework covering Where, What, Camera, and Atmosphere. This adds narrative context that clarifies professional intent and improves pass rates.

What is the Four-Question Framework for prompt engineering?

The Four-Question Framework for prompt engineering structures cinematic prompts by specifying location, subject, camera direction, and atmosphere. This context-rich approach reduces false-positive filter rejections by clarifying narrative goals.

When do I need to diagnose a false-positive content filter rejection?

You need to diagnose a false-positive content filter rejection when a prompt is blocked or produces degraded output despite having safe, professional intent. This misjudgment occurs frequently in safety-conscious cinematic writing and narrative prompt engineering.

Can I salvage a blocked cinematic idea without triggering the content filter?

You can salvage a blocked cinematic idea by reformulating the prompt to emphasize narrative goals and professional intent. Applying safe-prompting techniques and context-rich framing reduces misjudgment and produces compliant, pass-friendly output.