Convert UI screenshots into production-ready code with accurate styling and structure.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionscreenshot-to-codeExecute the skills CLI command in your project's root directory to begin installation:
Fetches screenshot-to-code from onewave-ai/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate screenshot-to-code. Access via /screenshot-to-code in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Convert UI screenshots into production-ready code with accurate styling and structure.
When a user provides a screenshot of a UI design:
Examine the image carefully and identify:
Ask the user which framework they prefer:
Default: If not specified, use React with Tailwind CSS for modern designs, or plain HTML/CSS for simple pages.
Create the implementation:
For React/Vue:
For HTML/CSS:
Critical requirements:
min(), max(), clamp() for fluid typography where appropriateProvide:
// Example structure for React + Tailwind
import React from 'react';
export default function ComponentName() {
return (
<div className="...">
{/* Component structure */}
</div>
);
}
Always include:
Navigation Bars: Flexbox with space-between, sticky positioning Card Grids: CSS Grid with auto-fit/auto-fill for responsiveness Hero Sections: Full-height with centered content, background images Forms: Proper labels, validation states, accessible inputs Modals: Fixed positioning, backdrop, focus management
If the screenshot is unclear or ambiguous:
User provides: Screenshot of a landing page with hero section, feature cards, and footer
Your response:
Remember: The goal is to produce code so clean and accurate that it could be deployed immediately with minimal modifications.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
screenshot-to-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
screenshot-to-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend screenshot-to-code for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: screenshot-to-code is focused, and the summary matches what you get after install.
Keeps context tight: screenshot-to-code is the kind of skill you can hand to a new teammate without a long onboarding doc.
screenshot-to-code has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in screenshot-to-code — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added screenshot-to-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
screenshot-to-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for screenshot-to-code matched our evaluation — installs cleanly and behaves as described in the markdown.
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