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.