HubLensAI AgentsLeonxlnx/taste-skill
// archived 2026-04-27
Leonxlnx

taste-skill

AI#AI Agents#Frontend#UI Design#Prompt Engineering
View on GitHub
37

// summary

Taste Skill provides a collection of specialized instructions designed to improve the visual quality and design output of AI coding agents. The toolkit includes various skills for tasks ranging from general frontend generation to specific styles like minimalist or brutalist design. These framework-agnostic files can be easily integrated into major AI coding agents to ensure premium, professional-grade interface results.

// technical analysis

Taste Skill is a collection of portable, framework-agnostic instruction sets designed to guide AI coding agents toward producing high-quality, premium frontend interfaces rather than generic code. By providing specialized 'skill' files that act as system prompts, the project addresses the common issue of AI laziness and poor design aesthetics in automated code generation. It employs a modular architecture where users can select specific skills for tasks like redesigning existing UIs, generating image-based layouts, or enforcing strict design constraints, effectively bridging the gap between raw AI output and professional-grade web design.

// key highlights

01
Provides a library of specialized skill files that enforce premium design standards, animations, and spacing for AI-generated frontend code.
02
Features a parameterization system with three adjustable dials—Design Variance, Motion Intensity, and Visual Density—to customize the output style.
03
Includes an image-to-code workflow that generates design reference images before implementation to ensure high visual fidelity.
04
Offers specialized skills for specific design aesthetics, such as minimalist, brutalist, and soft-UI, allowing for tailored visual outcomes.
05
Includes an 'output-skill' designed to prevent AI models from being lazy, ensuring complete code implementation without placeholder comments.
06
Maintains compatibility with all major AI coding agents, including Cursor, Claude Code, and GitHub Copilot, through a simple, portable file-based system.

// use cases

01
Generating premium, high-quality frontend code with modern animations and spacing
02
Auditing and redesigning existing UI projects to improve layout and hierarchy
03
Creating design reference images for web and mobile to guide AI implementation

// getting started

To begin, you can install the skills into your project using the CLI command 'npx skills add https://github.com/Leonxlnx/taste-skill'. Alternatively, you can manually copy the desired 'SKILL.md' file from the repository into your project or paste its contents directly into your AI agent's chat interface. Once the skill is present, your AI agent will automatically detect and follow the design rules defined within the file.