tasteroll

Generates UI prototypes and design systems with WCAG AA accessibility checks and PRNG-based roll history.

3|3|Updated Jun 5, 2026
One-click install
npx skills add https://github.com/KyaniteLabs/tastecheck --skill tasteroll
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tasteroll
Source: https://github.com/KyaniteLabs/tastecheck/tree/main/skills/tasteroll
Command: npx skills add https://github.com/KyaniteLabs/tastecheck --skill tasteroll

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Tasteroll solves the "blank canvas" paralysis and the "AI slop" problem by using project-specific constraints to generate high-quality, audit-backed design candidates.

Core Features & Use Cases

  • Audit-Driven Fixes: Automatically scans for and resolves accessibility, contrast, and structural issues before any design generation occurs.
  • Context-Aware Generation: Produces design candidates based on your specific project context, repo files, and design system goals rather than generic templates.
  • Iterative Convergence: Allows you to lock successful design dimensions while re-rolling others, enabling a progressive, evidence-backed design process.

Quick Start

Use the tasteroll skill to audit the current repository and generate three design candidates for the landing page using a random seed.

Frequently Asked Questions about tasteroll

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate accessible frontend prototypes from an existing design system?

To generate accessible frontend prototypes, this skill audits your repository and design constraints to automatically resolve WCAG AA contrast and structural issues before producing UI prototypes. It uses a deterministic PRNG pipeline to ensure design rail adherence and reproducible aesthetic decisions.

What's the best way to fix WCAG AA accessibility issues during UI prototyping?

Fixing WCAG AA accessibility issues during UI prototyping is handled through an audit-first pipeline that automatically scans for and resolves contrast and structural violations. This occurs before any design generation, ensuring all produced candidates meet technical accessibility requirements.

How do I use constraint-based generation to avoid generic AI design templates?

Constraint-based generation avoids generic AI design templates by applying your specific project context, repo files, and design system goals to a deterministic PRNG pipeline. This produces high-quality, audit-backed design candidates rather than generic slop, overcoming blank canvas paralysis.

Can I lock specific design dimensions and re-roll others during frontend prototyping?

You can lock specific design dimensions and re-roll others to enable iterative convergence during frontend prototyping. This progressive, evidence-backed design process allows you to keep successful aesthetic decisions while exploring new variations for the remaining unlocked dimensions.

Does this frontend prototyping tool require any external dependencies or components?

This frontend prototyping tool requires no external dependencies and operates using only its internal assets component. It autonomously handles design system verification and reproducible roll history generation without needing additional frameworks or libraries installed in your environment.