design-shotgun

Generate multiple AI design variants and present a side-by-side comparison board.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/algorithmbasics/gstack --skill design-shotgun-algorithmbasics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-shotgun
Source: https://github.com/algorithmbasics/gstack/tree/main/design-shotgun
Command: npx skills add https://github.com/algorithmbasics/gstack --skill design-shotgun-algorithmbasics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design shotgun provides rapid AI-driven visual design exploration by generating multiple design variants and letting you compare them side-by-side to pick a direction.

Core Features & Use Cases

  • Generate multiple AI design variants and open a side-by-side comparison board for feedback.
  • Collect structured feedback and iterate toward a preferred direction.
  • Persist design artifacts under the user's gstack design directory for cross-branch reuse.

Quick Start

Run /design-shotgun to start a new design exploration and open the 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 rapid visual brainstorming?

AI design variant generation automates visual brainstorming by rendering multiple mocks side-by-side. You can compare different UI directions simultaneously and collect structured feedback to iterate toward a preferred design.

What is a side-by-side comparison board for design exploration?

A side-by-side comparison board is a shareable HTML output that displays multiple AI-generated design variants together. It enables rapid visual direction feedback and structured iteration across UI/UX and branding projects.

Can I use AI design generation for branding exploration and cross-team feedback?

Yes, AI design generation supports branding exploration and cross-team feedback workflows. It coordinates local design tools to render mocks and outputs a shareable HTML board for collaborative visual direction selection.

What's the best way to compare AI design variants for iterative direction selection?

The best way to compare AI design variants is using an automated side-by-side HTML board. This approach persists design artifacts locally and enables structured feedback collection for rapid iteration toward a final visual direction.

Where are my generated design artifacts persisted for cross-branch reuse?

Generated design artifacts are persisted under the local gstack design directory at ~/.gstack/projects/$SLUG/designs. This file structure enables cross-branch reuse of visual mocks and branding exploration outputs.