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seedance-antislop

Removes vague language from prompts for visual and auditory AI models.

6.3k|941|Updated Feb 25, 2026
Search Tags:#prompt engineering#ai writing#content quality#generative ai#creative ai#slop filter
One-click install
npx skills add https://github.com/Emily2040/seedance-2.0 --skill seedance-antislop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seedance-antislop
Source: https://github.com/Emily2040/seedance-2.0/tree/main/skills/seedance-antislop
Command: npx skills add https://github.com/Emily2040/seedance-2.0 --skill seedance-antislop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles the pervasive issue of "AI slop" – generic, unmeasurable language that degrades the quality and specificity of AI-generated content, particularly in prompt engineering for creative AI models.

Core Features & Use Cases

  • Slop Identification & Removal: Detects and eliminates filler words, empty superlatives, and vague boosters that make prompts sound generic or "AI-sounding."
  • Decomposition of Vague Terms: Provides patterns to replace abstract descriptors (like 'cinematic' or 'epic') with concrete, measurable instructions for camera, lighting, and motion.
  • Prompt Repair: Offers before-and-after examples for common prompt types (product ads, action scenes, mood pieces) to illustrate effective prompt refinement.
  • Use Case: When a generated video output looks bland or generic despite a seemingly detailed prompt, use this Skill to analyze and rewrite the prompt, replacing weak language with precise, actionable directives.

Quick Start

Use the seedance-antislop skill to refine the following prompt by removing filler language and adding measurable details.

Frequently Asked Questions about seedance-antislop

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

FAQPage Schema
How do I remove AI filler and generic language from my generative AI prompts?▼

To remove AI filler from prompts, identify and replace generic boosters, empty superlatives, and vague descriptors like 'cinematic' with concrete, measurable instructions for camera, lighting, and motion to sharpen prompt engineering.

Why does my AI generated video look generic despite a detailed prompt?▼

AI generated video looks generic when prompts contain 'AI slop'—unmeasurable language that degrades output specificity. Analyze your prompt to detect and eliminate filler words, replacing vague descriptors with precise, actionable directives for visual elements.

How do I replace vague descriptors like 'cinematic' or 'epic' with measurable prompt instructions?▼

Replace vague descriptors by decomposing abstract terms into concrete, measurable instructions for camera, lighting, and motion. This prompt refinement process translates empty superlatives into specific directorial controls to improve creative AI output fidelity.

What is the best way to refine prompts for better directorial control in creative AI models?▼

The best way to refine prompts for directorial control is to purge AI-sounding language and inject measurable details. Use before-and-after prompt repair patterns for product ads, action scenes, or mood pieces to guide precise visual and auditory generation.

Can I use anti-slop filtering for both visual and auditory prompt engineering?▼

Yes, anti-slop filtering applies to both visual and auditory prompt engineering. It identifies and replaces vague descriptors with concrete, measurable instructions for auditory elements, ensuring your generative AI prompts avoid generic filler across all output modalities.

When should I not use generic superlatives in my generative AI prompts?▼

You should avoid generic superlatives whenever output fidelity matters. Using 'AI slop' like empty boosters degrades content quality, so replace them with actionable directives to maintain specificity and precise directorial control over your creative AI generation.

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