According to AlphaMoat, as of 2026-09, Vibe Design has 2,395 downloads and 10 stars — ranked #4,179 of 5,078 AI skills overall, and #410 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 67 | 2.1K | 10 | - |
| SkillHub ↗ | 235 | 2.4K | 10 | — |
Platforms count differently and update at different times.
This skill applies the vibe-coding philosophy to visual design: describe what you want, let AI generate visuals, layouts, and assets, and iterate on results rather than pixel-pushing from scratch. Core rules include using design vocabulary instead of art vocabulary, anchoring prompts with design systems (Material Design 3, Apple HIG, IBM Carbon, Atlassian), layering prompt structure, always specifying aspect ratios, generating 4-8 variants and remixing them, and keeping AI for the 80% exploration while finishing the 20% production work in tools like Figma.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.4K | — | 10 |
| 2026-08 | 2.1K | +5.7% | 10 |
| 2026-07 | 2.0K | +11.0% | 10 |
| 2026-06 | 1.8K | +8.4% | 10 |
| 2026-05 | 1.7K | — | 9 |
| 2026-03 | 1.2K | — | 7 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: Vibe Design
slug: vibe-design
version: 1.0.0
description: Create visual designs with AI tools. Covers prompting for UI/graphics, Midjourney techniques, Figma AI workflow, and iteration patterns.
metadata: {"clawdbot":{"emoji":"🎨","requires":{"bins":[]},"os":["linux","darwin","win32"]}}
---
## What is Vibe Design
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. ## Quick Reference | Topic | File | |-------|------| | Prompting for visuals | `prompting.md` | | UI/UX design with AI | `ui-design.md` | | Image generation tips | `image-gen.md` | | Figma AI workflow | `figma.md` | | Tools by use case | `tools.md` | ## Core Rules ### 1. Use Design Vocabulary, Not Art Vocabulary AI responds differently to design vs art terms. ❌ Art words: "beautiful", "fantasy", "render", "painting", "stunning" ✅ 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" ### 2. Anchor with Design Systems Adding a design system name drastically improves structure: - "Material Design 3" → balanced spacing, cards, shadows - "Apple HIG" → soft radii, clear typography, native feel - "IBM Carbon" → enterprise dashboard layouts - "Atlassian" → B2B tone, crisp typography ### 3. Layer Your Prompts Build prompts with structure: ``` [Project type] UI design for [product/audience], [style keywords], [layout type], [color palette], [design system reference], [rendering style] ``` ### 4. Aspect Ratios Matter - Web: --ar 16:9 - Mobile: --ar 4:5 or --ar 9:16 - Square/icons: --ar 1:1 - Always specify for consistent output ### 5. Iterate, Don't Perfect First Try Vibe design = rapid exploration. 1. Generate 4-8 variants 2. Identify elements that work 3. Remix: "Like image 2, but with the color palette from image 3" 4. Refine winner in production tool (Figma, etc.) ### 6. AI for Exploration, Tools for Production - **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. ### 7. Reference Over Description When possible, show don't tell: - Attach reference images - Link to existing designs you like - Use "in the style of [specific designer/brand]" ### 8. Design System Consistency For production work: - Export AI concepts as references, not finals - Rebuild in your design system - Maintain your spacing, typography, and color tokens - AI inspiration → human implementation ### 9. Know the Tool Strengths | Tool | Best For | |------|----------| | Midjourney | Artistic concepts, mood exploration | | Figma AI | UI iteration, production design | | DALL-E/GPT | Quick mockups, image editing | | Stable Diffusion | Custom training, open-source control | | Canva | Marketing assets, social media | See `tools.md` for detailed comparison.
ContextWeave one-shot architecture diagram generation
A script-based skill that generates or edits images with Nano Banana Pro.
Runs the whisper command line to transcribe audio locally.
A skill that generates and edits diagrams through an MCP server.
Design intelligence and implementation guidance for polished interfaces, from layout and flows to tokens and frontend changes.
An AI video generation and orchestration skill across several model APIs.
Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Creates, inspects, and edits Excel files while keeping formulas, formatting, and workbook structure intact.
A working guide for Word and DOCX documents that keeps styles, numbering, and layout intact after edits.
A data-analysis skill that turns databases, spreadsheets, and raw exports into decision-ready conclusions.
A set of rules for editing PowerPoint decks so they still render cleanly afterward.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.