據 AlphaMoat 統計,截至 2026-09,Vibe Design 累計下載 2,395 次、獲 10 個星標,在全部 5,078 個 AI 技能中排名第 4,179 位,在「設計創意」分類(512 個)中排名第 410 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 67 | 2149 | 10 | - |
| SkillHub ↗ | 235 | 2395 | 10 | — |
各平台的計數口徑不同,統計時間不一致。
該技能把“氛圍程式設計”理念應用於視覺設計:用自然語言描述需求,讓 AI 生成視覺稿、佈局與素材,再基於結果迭代而非從零摳畫素。核心規則包括:使用設計詞彙而非藝術詞彙、錨定設計系統(Material Design 3、Apple HIG、IBM Carbon 等)、分層組織提示詞、顯式指定寬高比、批次生成變體後混搭迭代,並明確 AI 負責探索、Figma 等工具負責精修收尾。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2395 | — | 10 |
| 2026-08 | 2116 | +5.7% | 10 |
| 2026-07 | 2001 | +11.0% | 10 |
| 2026-06 | 1802 | +8.4% | 10 |
| 2026-05 | 1663 | — | 9 |
| 2026-03 | 1195 | — | 7 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在保留公式、格式和活頁簿結構的前提下建立、檢查或編輯 Excel 檔案。
處理 Word 與 DOCX 文件的作業指南,著重維持樣式、編號與版面。
把資料庫、表格與匯出的原始資料變成可決策結論的資料分析技能。
協助編輯 PowerPoint 簡報,並在交付前檢查版面是否正常呈現。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。