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Create distinctive, production-grade frontend interfaces with high design quality.
Passed 10 of 22 test cases with the skill, and 12 of 22 without it.
3 fixed7 passed either way7 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need a frontend landing page for a vintage vinyl record marketplace. Please explore visual concept options along a statistical expectation spectrum before writing the component code.
| Checked | Without skill | With skill |
|---|---|---|
| Presents 5 design directions ordered from most expected to least expected. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
Before any aesthetic choices, use deductive reasoning to derive the right design from the context:
Derive the design from the problem, don't impose a style onto it.
LLMs are next-token predictors optimized via backpropagation. This creates a natural bias toward the most statistically probable (generic) output. To counter this:
Present the chosen direction to the user briefly before implementing. This ensures every design is intentionally de-biased.
LLMs have deepest mastery over raw web fundamentals. Use this to your advantage:
This prevents framework abstractions from flattening creative choices.
Adopt the mindset of a senior UI/UX Designer — someone who both solves usability problems and crafts visually beautiful, creative interfaces. Evaluate the output through that expert lens:
test cases passed, vs 12 / 22 without
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