The author explains how to turn design decisions—like initial scale, easing, and typography rules—into explicit “skill files” that coding agents can follow. By articulating why certain animations feel natural, you guide AI agents to produce consistent, high-quality results. He demonstrates using Anthropic’s skill-creator and Claude Code, and shares a public skill package.

• Coding agents produce mediocre visual/animation work because they lack a trained eye, but this can be fixed by encoding design taste into explicit "skill files" with concrete rules instead of vague preferences
• Concrete example: starting animations at scale(0.85) instead of scale(0) creates natural-feeling growth versus jarring pop-in—showing how gut-feel taste can become codified logic (same applies to easing curves via decision trees)
• Using Anthropic's skill-creator, Claude Code can review existing animations against these rules and output specific violations plus before-and-after code fixes
• All these rules are packaged into an installable skill via `npx skills add emilkowalski/skill`