Constraint-Aware Interface Evaluation — AI skill

When to use it

Use for MVP or constrained redesign reviews to separate essential hierarchy and primary flows from polish that can scale with resources. Distinct from scoring visual quality alone: it asks which compromises were justified by documented constraints. Do not invent the original team or budget. Its classification of state coverage as an execution detail must not excuse missing critical error, focus or loading states. Not a quantitative design benchmark. Not installed, executed or runtime-tested during discovery. GitHub stars are repository-wide, not a rating of this skill.

Compatible agents

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Installation

Upstream single-skill installer: npx github:0xDragoon/taste-skills add constraint-evaluation. Default destination is .taste-skills/; point your agent at that directory. Alternatively copy skills/judgment/constraint-evaluation/SKILL.md into a constraint-evaluation/SKILL.md folder in your agent’s skill directory. Review the upstream README, DISCLAIMER.md and TERMS.md first.

Review the source and instructions before installing in your agent.

License

MIT

Last checked Oct 27, 2026.

Pair this skill with a visual reference

A skill guides how your agent works; a design reference shows the direction you want. Choose an example for a specific job, such as the headline hierarchy or form layout, and keep your project's existing design rules explicit.

Start with design references you can inspect, then use our guide to briefing an AI coding agent to turn observations into requirements. If you need implementation components, compare UI libraries for your stack.

These pages are public. Browsing a skill does not install it, and TastefulKit's design-reference MCP tools do not search the AI-skill directory.