AI coding agents produce interfaces that work but rarely interfaces that feel good. The gap is craft: motion timing, interaction states, surfaces and shadows, typography, optical alignment, the hundred small decisions a strong design engineer makes without being asked. finesse packages that judgment as an installable Agent Skill, so it travels with the model into every prompt.
npx skills add arjunlohan/finesseWhat it covers
Motion tokens instead of hand-picked durations, hover and focus and loading states, prefers-reduced-motion, tabular numbers, skeleton states, gesture physics, and the rule that dominates everything else: motion serves a purpose, and if you can't name what an animation communicates, you cut it.
Proof, not claims
The claim "this skill makes output better" is easy to make and easy to fake, so the showcase is built to be checkable. I ran the same prompt fifteen times, with and without the skill, same model, and put every pair side by side, live and interactive. You can open each comparison and feel the difference yourself: the finesse showcase.
Why it matters
Skills are the interesting layer of the agent stack right now: portable, versioned expertise that changes what a model does without changing the model. Building one well is an exercise in the same discipline as any AI product. You are encoding taste into instructions, testing whether the behavior actually shifted, and cutting everything the model already does by default.