Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Create visual designs with AI tools. Covers prompting for UI/graphics, Midjourney techniques, Figma AI workflow, and iteration patterns.
Create visual designs with AI tools. Covers prompting for UI/graphics, Midjourney techniques, Figma AI workflow, and iteration patterns.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Design where you describe what you want and let AI generate visuals, layouts, and assets. You iterate based on results rather than pixel-pushing from scratch. Same philosophy as vibe coding applied to visual design. Core principle: AI handles exploration and generation. You handle curation and refinement.
TopicFilePrompting for visualsprompting.mdUI/UX design with AIui-design.mdImage generation tipsimage-gen.mdFigma AI workflowfigma.mdTools by use casetools.md
AI responds differently to design vs art terms. β Art words: "beautiful", "fantasy", "render", "painting", "stunning" β Design words: "interface", "layout", "component", "spacing", "hierarchy" Bad: "beautiful mobile banking product, minimal futuristic style" Good: "mobile banking app UI in Material Design 3, clean layout, consistent spacing, data cards with financial metrics"
Adding a design system name drastically improves structure: "Material Design 3" β balanced spacing, cards, shadows "Apple HIG" β soft radii, clear typography, native feel "IBM Carbon" β enterprise dashboard layouts "Atlassian" β B2B tone, crisp typography
Build prompts with structure: [Project type] UI design for [product/audience], [style keywords], [layout type], [color palette], [design system reference], [rendering style]
Web: --ar 16:9 Mobile: --ar 4:5 or --ar 9:16 Square/icons: --ar 1:1 Always specify for consistent output
Vibe design = rapid exploration. Generate 4-8 variants Identify elements that work Remix: "Like image 2, but with the color palette from image 3" Refine winner in production tool (Figma, etc.)
AI generates: Mood, direction, concepts, rough layouts Production tools refine: Pixel-perfect spacing, real content, responsive behavior Don't try to get production-ready from AI. Use it for the 80% exploration, finish the 20% manually.
When possible, show don't tell: Attach reference images Link to existing designs you like Use "in the style of [specific designer/brand]"
For production work: Export AI concepts as references, not finals Rebuild in your design system Maintain your spacing, typography, and color tokens AI inspiration β human implementation
ToolBest ForMidjourneyArtistic concepts, mood explorationFigma AIUI iteration, production designDALL-E/GPTQuick mockups, image editingStable DiffusionCustom training, open-source controlCanvaMarketing assets, social media See tools.md for detailed comparison.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.