higgsfield-seedance

Rewrite Seedance scene prompts into six-slot filmmaker structures to reduce content-filter rejections.

129|21|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-seedance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-seedance
Source: https://github.com/dsm5e/aso-tracker/tree/main/aso-video/docs/higgsfield-prompts/skills/higgsfield-seedance
Command: npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-seedance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you rewrite Seedance 2.0 / Seedance Pro scene prompts so they pass the content filter, preventing repeated instant failures and wasted generations.

Core Features & Use Cases

  • Filter-first scene restructuring: Converts “note-to-friend” style prompts into filmmaker-style scene descriptions using a six-slot formula (camera, subject, action, setting, style, lighting).
  • Failure-loop diagnosis: Detects instant (<10s) versus delayed (>30s) failures to determine whether you’re dealing with content-filter rejection or non-filter render issues.
  • Mode-aware prompt construction: Generates prompts using Seedance 2.0 modes (Reference-Based, Continuation, Expand Shot, Edit Shot, Transformation) appropriate to what you want to change next.
  • Preflight linter guidance: Runs the provided linter approach to flag issues like real names/IP, violence tokens, age markers, voice problems, and overlength risk before generating again.

Quick Start

Use higgsfield-seedance when your Seedance generation is flagged or repeatedly fails, then rewrite the prompt as a complete six-slot cinematic scene and preflight-lint it using python3 seedance_lint.py "<prompt text>".

Frequently Asked Questions about higgsfield-seedance

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

FAQPage Schema
Why does my Seedance scene generation get instantly rejected by the content filter?

Instant Seedance content-filter rejections happen when prompts contain flagged tokens like real names, IP, violence, or age markers. Rewriting your scene prompt into a structured filmmaker format and preflight-linting it identifies these triggers before you spend generation credits.

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

Rewrite Seedance prompts by restructuring casual descriptions into a six-slot filmmaker formula covering camera, subject, action, setting, style, and lighting. This filter-first approach removes casual phrasing that triggers rejections and enforces cinematic scene constraints.

How can I tell if a Seedance failure is from the content filter or a render issue?

Diagnose Seedance failures by timing them: instant failures under ten seconds indicate content-filter rejection, while delayed failures over thirty seconds point to non-filter render issues. This timing diagnosis determines whether you need prompt rewriting or technical troubleshooting.

What is the six-slot filmmaker prompt structure for Seedance scene generation?

The six-slot filmmaker prompt structure for Seedance scene generation organizes descriptions into camera, subject, action, setting, style, and lighting. This format converts informal notes into structured cinematic scenes, aligning with Seedance Pro modes to reduce filter rejections.

Does the Seedance prompt linter check for brand and IP references?

Yes, the Seedance prompt linter flags real names, brands, intellectual property, violence tokens, age markers, and voice problems. Running the linter before generating catches overlength risks and content-filter triggers, preventing wasted regeneration credits.

Can I use Seedance Continuation mode for editing an existing scene?

Seedance Continuation mode extends a scene, while modes like Edit Shot or Transformation modify existing content. The prompt rewriting process selects the correct Seedance 2.0 mode—Reference-Based, Expand Shot, or Edit Shot—based on what you want to change next.