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multi-pet-composition-enhancement

Refine edges, normalize visual areas, and center 2-4 pet subjects in circular templates.

Updated Aug 27, 2026
Search Tags:#composition#non-destructive#design-engineering#multi-pet#visual-centering#edge-refinement#layout-normalization
One-click install
npx skills add https://github.com/worm-13/pet-design-agent --skill multi-pet-composition-enhancement
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-pet-composition-enhancement
Source: https://github.com/worm-13/pet-design-agent/tree/main/.cursor/skills/multi-pet-composition-enhancement
Command: npx skills add https://github.com/worm-13/pet-design-agent --skill multi-pet-composition-enhancement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Multi-pet compositions often suffer from misaligned subjects, inconsistent scales, and jagged edges after cropping. This skill standardizes placement and edge quality without re-creating pets.

Core Features & Use Cases

  • Edge refinement: post-matting alpha cleanup with subtle feathering to smooth boundaries while preserving pet details.
  • Visual area normalization: adjusts scale so 2-4 pets appear with a consistent visual footprint.
  • Centralized composition alignment: ensures group centering relative to a circular or template core for balanced layouts.
  • Non-destructive workflow: avoids redrawing or AI-driven repositioning; uses existing assets and post-processing only.
  • Use Case: generates presentation-ready group portraits for marketing decks, social media, or product visuals.

Quick Start

Provide two to four pet images to the orchestrator and run the multi-pet composition script to generate a centered, edge-refined group design.

Frequently Asked Questions about multi-pet-composition-enhancement

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

FAQPage Schema
How do I normalize the scale of multiple pets in a single group portrait?▼

To normalize scale in a multi-pet group portrait, visual area normalization adjusts each subject's footprint so 2-4 pets appear with consistent sizing. This post-matting refinement ensures balanced composition without redrawing the original pet assets.

What is the best way to align multiple pet subjects within a circular template?▼

The best way to align multiple pet subjects in a circular template is through centralized composition alignment. This process positions the group center relative to the template core, ensuring a balanced, presentation-ready layout for marketing decks.

Can I fix jagged edges on pet images after matting without re-drawing them?▼

Yes, you can fix jagged edges after matting without re-drawing by applying edge refinement. This non-destructive technique uses alpha cleanup and subtle feathering to smooth boundaries while preserving original pet details.

Does multi-pet composition work without AI-based position changes?▼

Yes, multi-pet composition works without AI-based position changes by using a non-destructive workflow. It performs post-matting refinements and collective centering on existing assets, avoiding any AI-driven repositioning or re-creation of the pets.

How many pet images can I assemble using layout normalization?▼

You can assemble 2 to 4 pet images using layout normalization. The process coordinates multiple subjects to deliver aligned, edge-clean group designs suitable for social media or product visuals.

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