image-to-code
Skill3 starsChanged 28 days agoMITView on GitHub
Implement an interface faithfully from supplied or approved images. Triggers on "image to code", "设计图转代码".
85 other projects use a version of this.
Adopted by
Most recently taken up by
- bepaldes/heimdall-agenttheir own version, first seen Nov 8, 2026
- SamuelAlev/control-centertheir own version, first seen Nov 8, 2026
- AthenDrakomin-hub/agent-skillstheir own version, first seen Nov 1, 2026
- HackIndiaXYZ/ai-first-startup-hackathon-build-a-startup-using-ai-only-arclighttheir own version, first seen Nov 1, 2026
- imMamdouhaboammar/motion-graphics-skillstheir own version, first seen Nov 1, 2026
- GAPZ787/claude-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use stitch-design-taste, brandkit and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
HK-hubSkillstitch-design-taste
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
Also in 54 projects that use this
AnasX7Skillbrandkit
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
Also in 61 projects that use this
AnasX7Skillimagegen-frontend-web
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
Also in 53 projects that use this
HK-hubSkilldesign-taste-frontend-v1
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
Also in 29 projects that use this
hjdspaceSkillflutter-setup-declarative-routing
Configure `MaterialApp.router` using a package like `go_router` for advanced URL-based navigation. Use when developing web applications or mobile apps that require specific deep linking and browser history support.
Also in 3 projects that use this
- +7 more from AnasX7
Other versions85 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 85
- caorushizi/mediago★ 9.3ksame name
- openai/plugins★ 7.8ksame name
- plugin87/ux-ui-agent-skills★ 3.1ksame name
- hamzafarooq/claude-code-starter★ 145same name
- imMamdouhaboammar/motion-graphics-skills★ 50same name
- kresogalic8/unwatched★ 35same name
- jmxt3/gitscape.ai★ 33same name
- fathomise/MailFathom★ 21same name
- Krzysztof318/MailFathom★ 21same name
- ivanrvpereira/.agents★ 19same name
75 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- brainstormSkill
- oss-strategySkill
- specSkill
- researchSkill
- api-designSkill
- architectureSkill
- codebase-designSkill
- design-researchSkill
- domain-modelingSkill
- frontend-designSkill
- imagegenSkill
- prompt-engineeringSkill
- prototypeSkill
- schema-designSkill
- auth-implementationSkill
- breakdownSkill
- context-engineeringSkill
- error-handlingSkill
- i18nSkill
- implementSkill
- multi-agent-orchestrationSkill
- cost-optimizationSkill
- performanceSkill
- refactoringSkill
- simplifySkill
- api-testingSkill
- e2e-testingSkill
- load-testingSkill
- tddSkill
- test-generationSkill
- a11y-reviewSkill
- code-reviewSkill
- debuggingSkill
- lintingSkill
- security-reviewSkill
- ci-cdSkill
- deprecation-migrationSkill
- git-workflowSkill
- oss-polishSkill
- shippingSkill
- documentation-auditSkill
- handoffSkill
- incident-responseSkill
- observabilitySkill
- purity-auditSkill
- skill-authoringSkill
- using-skillsSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 82 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Run screenshots at matching dimensions, compare and correct material differences.
“Common” is measured: kept by at least 6 in 10 of the 82 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Image to Code
When to use
- Implement an interface faithfully from supplied or approved images.
Not for: frontend-design for code-first design; imagegen for images only.
Steps
- Inspect references and target dimensions; separate visible layout from unspecified behavior. Generate images only within the agreed workflow.
- Extract layout, type, colors, spacing and assets; ask about consequential ambiguity rather than inferring interaction from pixels.
- Implement semantic controls and reusable components in the actual framework, including required responsive and interaction states.
- Run screenshots at matching dimensions, compare and correct material differences; test core interactions and report fidelity limits.
Verify
- Comparisons use actual matching viewports; interaction and responsive behavior work without unsupported fidelity claims.
References
- engineering-principles.md — shared decision boundaries, scope and verification.
- design-principles.md — design discipline (CRAP, hierarchy before decoration, design every state, accessibility non-optional)
- visual-direction.md — shared web variation engine (9 axes, hero scale, composition anchors, anti-slop)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

