frontend-design-pro
with machine-enforced quality gates
Last checked:
What is frontend-design-pro?
AI frontend skill pack that constrains AI agent output with 60 machine-enforced checks to prevent low-quality defaults and anti-patterns. Uses registry-routed, lazy-loaded skills matched against trigger keywords, with AST-based and regex validation ensuring type-safe, accessible frontend code generation.
frontend-design-pro pricing
Pricing model: Freemium
frontend-design-pro pros
- 60 machine-enforced constraints (17 AST-based + 43 regex patterns) block common anti-patterns: placeholder brands, banned typefaces, accessibility violations, improper viewport units, and outdated easing functions
- Efficient lazy-loaded system—only 1 of 19 skills loads per request (~1.6% of 372k token reference depth), keeping token cost minimal
- Type-safe output validated through TypeScript compiler API with strict mode compliance
- Intent-matched skill selection via trigger keywords with fallback to clarification rather than guessing
frontend-design-pro cons
- Limited to 19 predefined skills—requests without matching trigger keywords require clarification instead of defaulting to a skill
- No pricing, licensing, or commercial details visible; unclear if free, open-source, or paid product
- Early-stage project hosted on GitHub Pages; no indication of production readiness, support, or active maintenance
Frequently asked questions about frontend-design-pro
How does this prevent low-quality AI-generated code?
It enforces 60 machine-checked constraints before code ships: 17 semantic checks via TypeScript compiler AST analysis, 43 pattern checks via regex. These block placeholder content (Acme, John Doe), ban default typefaces as primary fonts, require accessibility features (aria-labels, prefers-reduced-motion), and enforce proper viewport units (100dvh not 100vh).
Does it load all reference material with every request?
No. The router matches your request to exactly one of 19 skills and loads only that skill plus its dependencies—typically ~5,999 tokens (~1.6% of the 372,212 available reference depth).
How does the router know which skill to load?
It matches trigger keywords in your request against each skill's keywords. The most specific match loads; if no match exists, it asks a clarifying question instead of guessing.
What specific patterns does it block?
No placeholder brands or names, no Inter/Roboto/Poppins as display faces, no min-h-screen, no transition-all, no bounce/elastic easing, no outline-none without focus rings, no gradient text on body copy, and no artificial mount-time loading delays.