Results for “prompt-design”
9 skillsstitch-skills
Generates high-fidelity UI screens, multi-page websites, DESIGN.md documentation, and React components from natural-language prompts using the Stitch MCP server, with support for prompt refinement and walkthrough video creation via Remotion.
42 · bundle
frontend-design-router
Route frontend design and UI implementation prompts to the right design skills. Use for accessibility, frontend visual taste, redesigns, design systems, dashboards, motion, image-to-code, web/mobile image generation, Stitch, Vue conversion, UI demos, or CE frontend design.
0 · bundle
More results
prototype
Render a proposed redesign of a page as a self-contained static HTML file, then iterate via chat-driven commands until approved.
142 · bundle
design-frontend
Create distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. Use when the user says "build this UI", "design this page", "make it look good", "dashboard layout", "beautify this", or "make the UI feel premium".
8
expert-design
设计原型专家团入口。用于 Codex CLI 的 $expert-design 调用。 覆盖需求发现、设计系统选择、原型生成、质量审查和导出交付。 触发词:设计原型、UI、UX、设计系统、高保真、HTML 原型、品牌设计、页面设计
0 · bundle
visual-design-taste
Choose and apply high-quality frontend visual direction for websites, apps, dashboards, redesigns, landing pages, portfolios, and UI polish. Use when prompts mention design taste, anti-slop UI, redesign, premium visual design, minimalist, brutalist, legacy style inheritance, design direction, or the old taste-skill/gpt-tasteskill/soft-skill/brutalist-skill/minimalist-skill/redesign-skill skills.
0 · bundle
bolder
Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability.
55 · bundle
page-audit
Audits any movemental.com page across UI, content, architecture, UX, and conversion, then writes a markdown report and a standalone fix prompt.
1
mlops
Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.
2