prompt
FreeOverride default LLM UI biases with metric-based design rules
FreeFree tier
About prompt
A system prompt for AI language models that transforms them into a 'Frontend Taste Engineer' — a senior UI/UX engineer who overrides default LLM biases toward generic, boilerplate-looking UIs. The prompt enforces metric-based design rules, strict component architecture, CSS hardware acceleration, and balanced design engineering. It includes configurable parameters (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY), default architecture conventions (React/Next.js with Server Components), dependency verification, and interactivity isolation rules.
Key Features
Configurable design parameters: DESIGN_VARIANCE (1-10), MOTION_INTENSITY (1-10), VISUAL_DENSITY (1-10)
Enforces metric-based design rules and balanced design engineering
Default architecture conventions (React or Next.js with Server Components)
Dependency verification before importing third-party libraries
Interactivity isolation: forces client components for motion/liquid glass effects
RSC safety rules for global state management
Strict component architecture and CSS hardware acceleration guidance
Sourced from popular taste-skill repository (17.5k+ stars)
Pros & Cons
Pros
- Prevents generic, boilerplate-looking UIs common in LLM output
- Provides fine-grained control over visual design through configurable parameters
- Encourages best practices like server components, dependency checks, and component isolation
- Based on a popular, well-received prompt (17.5k+ stars on GitHub)
- Open-source and freely available for any LLM application
Cons
- Only applicable to frontend code generation (React/Next.js focused)
- Requires careful adjustment of parameters to avoid overly chaotic or static designs
- May be overly prescriptive for simple or rapid prototyping tasks
- Assumes familiarity with React/Next.js and component architecture
Best For
Generating frontend UIs with intentional, non-generic visual designCreating consistent, architecturally sound React/Next.js componentsEnforcing design systems and visual variance in AI-generated interfacesBuilding interactive UI components with controlled motion and densityTeaching LLMs to produce production-ready frontend code with proper dependency handling
FAQ
What is the Frontend Taste Engineer prompt?
It is a system prompt for AI language models that instructs them to act as a senior UI/UX engineer who systematically overrides default statistical biases toward generic-looking UIs, using metric-based design rules and strict component architecture.
What are the key configurable parameters?
Three parameters: DESIGN_VARIANCE (1=perfect symmetry, 10=artsy chaos), MOTION_INTENSITY (1=static, 10=cinematic), and VISUAL_DENSITY (1=airy, 10=pilot cockpit). Default baseline is (8,6,4).
Which frameworks does this prompt target?
React or Next.js. It defaults to Server Components (RSC) and provides specific rules for interactivity isolation and state management.
Where can I find this prompt?
It is available in the ai-boost/awesome-prompts repository on GitHub, originally sourced from Leonxlnx/taste-skill.
Is this prompt free to use?
Yes, it is open-source and freely available on GitHub.