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udayanwalvekar
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clearshot

Convert UI screenshots into structured design intelligence with a 5×5 spatial map.

130|13|Updated Mar 24, 2026
Search Tags:#design system#ui implementation#screenshot analysis#color tokens#layout blueprint#frontend critique#visual to code
One-click install
npx skills add https://github.com/udayanwalvekar/clearshot --skill clearshot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clearshot
Source: https://github.com/udayanwalvekar/clearshot/tree/main
Command: npx skills add https://github.com/udayanwalvekar/clearshot --skill clearshot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

clearshot fixes the common failure mode of AI when going directly from pixels to UI code by producing a structured, design-aware intermediate representation of the screenshot before the model responds.

Core Features & Use Cases

  • Structured screenshot analysis (5×5 map): Inventories visible UI elements by section, position, state, colors (hex), typography (pixel-estimated), spacing, borders/radius, and shadows.
  • Design system extraction (system level): Recovers palettes, type scale, spacing/shape patterns, and overall visual cohesion so the output matches the UI’s implied system.
  • Implementation blueprint (blueprint level): When building, escalates to layout architecture, interaction map, component states, responsive context, and z-index/layering cues.

Quick Start

Share a UI screenshot in your AI coding chat and ask it to rebuild, match, or critique the interface.

Frequently Asked Questions about clearshot

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

FAQPage Schema
How do I analyze a UI screenshot before converting it to frontend code?▼

To convert UI screenshots to code, first extract design intelligence like color tokens, typography, and spacing, then escalate to a layout blueprint that maps component states, interaction maps, and z-index layering cues for accurate frontend implementation.

Why does AI generate inaccurate frontend code directly from UI screenshots?▼

AI fails going directly from pixels to code because it lacks a design-aware intermediate representation. Extracting color tokens, typography, and a 5×5 spatial map first ensures the output matches the screenshot's implied visual system.

Can I extract a design system from a web app mockup image?▼

Yes, you can extract a design system from a mockup image. The process recovers color palettes, pixel-estimated type scales, spacing patterns, and shape borders to ensure the reconstructed UI matches the mockup's visual cohesion.

What types of images work for visual to code layout blueprint generation?▼

Layout blueprint generation works with web apps, dashboards, mockups, and wireframes. It skips non-UI images and code-as-text inputs, focusing strictly on digital interface images during frontend building, debugging, and evaluation.

Does screenshot analysis provide responsive context and component states for frontend critique?▼

Yes, screenshot analysis provides responsive context and component states. When implementation is requested, it escalates to a blueprint level that includes layout architecture, interaction maps, component states, and z-index layering cues.

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