Frontend skill giving AI tunable taste to avoid generic UI outputs.
Taste-skill is an open-source frontend capability designed to improve how AI systems handle visual interfaces. It focuses on delivering refined aesthetic choices rather than defaulting to common patterns.
The skill operates by exposing controls for key visual attributes including variance in layouts, levels of motion, and overall density. These settings help shape outputs that feel more intentional and less uniform.
It is intended for developers and AI builders who integrate frontend generation into their agents and want more distinctive results without manual overrides each time.
Apply tunable settings to produce dashboards that vary in layout and element spacing instead of following standard templates.
Control motion intensity when generating clickable mockups so animations feel purposeful rather than excessive or absent.
Use density adjustments to match visual weight to specific project needs and reduce the chance of repetitive styling across deliverables.
npx skills add https://github.com/Leonxlnx/taste-skillIt refers to adjustable settings that change how much layouts and elements differ from one another in generated interfaces.
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