design-shotgun

Generate multiple AI design variants and organize a comparison board for structured feedback.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill design-shotgun-devs6186
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-shotgun
Source: https://github.com/devs6186/claude-private-skills-agents-commands/tree/main/skills/gstack/design-shotgun
Command: npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill design-shotgun-devs6186

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates multiple AI design variants and organizes a comparison board to capture structured feedback for rapid iteration.

Core Features & Use Cases

  • Generate several AI design variants for a given UI or feature concept.
  • Open a visual comparison board to contrast options and collect stakeholder feedback.
  • Iterate on designs using structured input to converge on a final concept.

Quick Start

Ask the AI to generate three design variants for a dark-mode dashboard and compare them side-by-side.

Frequently Asked Questions about design-shotgun

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

FAQPage Schema
How do I generate multiple design variants for visual brainstorming?

To generate multiple design variants for visual brainstorming, you provide a prompt describing your UI or feature concept. The system then creates several AI design options and organizes them into a side-by-side comparison board for structured feedback.

What is the best way to compare UI design variants side-by-side?

The best way to compare UI design variants side-by-side is using a visual comparison board. This approach allows you to contrast multiple options simultaneously and capture structured stakeholder feedback directly within the context of each design.

Can I iterate on visual design options after receiving stakeholder feedback?

Yes, you can iterate on visual design options after receiving stakeholder feedback. The system supports iterative refinement by applying structured input to your existing designs, allowing you to converge on a final concept with traceable states.

Does this approach support feature ideation and rapid UI exploration?

Yes, this approach supports feature ideation and rapid UI exploration. It applies prompt-driven variant generation to quickly produce multiple visual options, making it ideal for exploring different directions for a dark-mode dashboard or similar feature.

Are there limitations when using AI to generate design variants for a comparison board?

A limitation when using AI to generate design variants is that outputs require human review to ensure they meet specific technical constraints. The system facilitates structured feedback and traceable states, but final visual design convergence still requires manual validation.