gemini-multimodal
Skill2 starsChanged 28 days agoApache-2.0View on GitHub
Use this skill when analyzing visual mockups, inspecting UI screenshots, converting wireframes to frontend code, extracting architecture from diagrams, or performing visual QA regression checks using Gemini's native multimodal capabilities.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- FutureAtoms/claude-skills-backuptheir own version, first seen Mar 11, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- FutureAtoms/claude-skills-backup★ 1same name
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 repository108 other files it gives its agents.
- AGENTS.mdAGENTS.md
- everything-gemini-maintainerSkill
- adversarial-fuzz-generatorSkill
- agent-evalsSkill
- ai-first-engineeringSkill
- alloydb-omni-vectorSkill
- apache-kafka-streamsSkill
- api-craftsmanSkill
- architecture-designerSkill
- argon-3d-game-engineSkill
- argon-3d-scene-architectSkill
- argon-procedural-asset-generatorSkill
- argon-visual-critique-loopSkill
- argo-workflowsSkill
- autonomous-incident-healerSkill
- axum-web-serviceSkill
- bigquery-vector-searchSkill
- browser-qa-testerSkill
- chromadb-vector-storeSkill
- cilium-ebpf-networkingSkill
- clickhouse-analyticsSkill
- cloud-deploy-canarySkill
- cloudflare-r2-object-storageSkill
- cloudflare-workersSkill
- cloud-run-agentsSkill
- context-cachingSkill
- context-distillation-compressorSkill
- context-warmerSkill
- continuous-learningSkill
- cost-oracle-finopsSkill
- cross-repo-swarm-syncSkill
- cve-remediation-orchestratorSkill
- database-architectSkill
- dataproc-spark-analyticsSkill
- dbt-transformationSkill
- debezium-cdcSkill
- devops-pipelineSkill
- distributed-rate-limitingSkill
- docker-compose-orchestratorSkill
- duckdb-local-olapSkill
- dynamic-thinking-allocationSkill
- ebpf-microvm-sandboxSkill
- ebpf-sandbox-enforcerSkill
- elephant-goldfish-modelSkill
- envoy-ai-gatewaySkill
- ephemeral-swarm-orchestratorSkill
- fastapi-productionSkill
- fullstack-nextjsSkill
- game-audio-synthesizerSkill
- game-studioSkill
- gemini-function-callingSkill
- gemini-groundingSkill
- gemini-live-audio-transcriberSkill
- gemini-live-multimodalSkill
- gemini-live-screen-visionSkill
- genetic-prompt-cross-pollinatorSkill
- git-craftsmanSkill
- github-opsSkill
- google-axSkill
- google-flow-orchestratorSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
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 16
Reference Assets: When inspecting diagrams or UI mockups, identify layout hierarchy:
- Distinctive: line 23
When converting a visual mockup into web components:
- Distinctive: line 30
When given an architectural whiteboard photo or flowchart:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Gemini Multimodal Engineering
Overview
Gemini 1.5/3.8 models feature native multimodal grounding across images, diagrams, video frames, and audio tokens. This skill guides the agent on how to effectively extract structured specifications from visual assets and translate them into production code.
Procedural Workflow
1. Visual Intake & Pre-Processing
- Aspect Ratio & Resolution: Gemini processes visual inputs with native resolution preservation.
- Reference Assets: When inspecting diagrams or UI mockups, identify layout hierarchy:
- Header / Navigation bars
- Main grid or flex container arrangements
- Typography weights, line heights, and color hex values
- Interactive elements (buttons, inputs, carousels, modals)
2. Mockup-to-Code Translation Pattern
When converting a visual mockup into web components:
- Layout First: Implement semantic HTML scaffolding matching visual hierarchy.
- Design Tokens: Extract exact color palettes, border radiuses, and shadow elevations into CSS variables.
- Responsive Breakpoints: Infer desktop, tablet, and mobile reflow logic from the visual layout.
- Interactive States: Emulate hover, focus-visible, and active states visible in the UI.
3. Diagram & Flowchart Extraction
When given an architectural whiteboard photo or flowchart:
- Transcribe nodes and connections into clean Mermaid.js diagrams.
- Extract data models, sequence flows, and component boundaries into typed interfaces.
4. Visual QA & Regression Diffing
- Capture screenshots of the rendered application using
browser_subagent. - Inspect layout anomalies: overlapping text, clipped containers, misalignment across viewports.
- Apply surgical CSS adjustments without affecting sibling components.
Verification Checklist
- Visual hierarchy precisely reflects the reference asset
- No placeholder assets or mock text left in production components
- CSS uses fluid units (
rem,ch,%) and CSS grid/flexbox - Visual artifacts verified via browser inspection or recording
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.

