design-shotgun

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

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/mgher668/surf-ai --skill design-shotgun-mgher668
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-shotgun
Source: https://github.com/mgher668/surf-ai/tree/main/.agents/skills/gstack/design-shotgun
Command: npx skills add https://github.com/mgher668/surf-ai --skill design-shotgun-mgher668

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rapid design exploration for interfaces is hard when you only see a single direction. This Skill automates generating multiple AI design variants, opens a side-by-side comparison board, and collects structured feedback to help teams converge on a direction quickly.

Core Features & Use Cases

  • Multi-variant generation: Produce several design directions in parallel to compare layouts, color schemes, and interaction patterns.
  • Comparison board & feedback: Open a shared board to surface structured feedback and prioritize changes.
  • Use Case: When iterating a UI feature, run multiple variants and quickly select the best direction for implementation.

Quick Start

Invoke /design-shotgun to generate several design variants and view a side-by-side comparison board for feedback.

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 UI design variants for side-by-side comparison?

Generate multiple UI design variants by invoking the design-shotgun command, which automates parallel visual brainstorming and opens a side-by-side comparison board to evaluate different layouts and color schemes.

What is the best way to collect structured feedback on AI design variants?

The best way to collect structured feedback on AI design variants is using a shared comparison board interface, which surfaces prioritized changes and helps teams converge on a visual direction quickly.

Can I use AI design exploration for feature ideation and visual brainstorming?

Yes, you can use AI design exploration for feature ideation and visual brainstorming by generating multiple design directions in parallel to compare interaction patterns and layouts before implementation.

Do I need a specific runtime to handle local artifacts for design comparison boards?

Yes, you need a gstack runtime integrated with a feedback workflow to handle local artifact processing, manage the comparison board interface, and execute the design variant generation.

How does multi-variant generation work for UI exploration?

Multi-variant generation works by producing several AI-driven design directions in parallel, allowing you to directly compare layouts, color schemes, and interaction patterns within a single comparison board.