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Effect selection

Skill Suraj787/motif/skills/effect-selection

Open-source interaction-design intelligence for AI coding agents - securely discover, select, adapt and validate UI motion, effects and interaction patterns.

Install
npx -y skills add Suraj787/motif --skill effect-selection

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What its author says it does

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Use when you have multiple candidate effects and must rank them transparently and select the simplest one that fully achieves the interaction objective.

SKILL.md

1.4 KB, as published. Nobody here has run it

Effect Selection

Responsibility: Rank candidates transparently and choose the simplest fully effective approach. Novelty must never outrank usability.

When to invoke

  • After effect-discovery (steps 9-10 of the root workflow).

Inputs

  • The candidate set from effect-discovery.
  • The interaction objective and constraints.

Outputs

  • A transparent ranking table with explicit criteria and scores.
  • The selected effect with a written justification for why it is the simplest effective choice.
  • A rejected-alternatives note for the decision log.

Ranking criteria

  • Effectiveness against the objective.
  • Complexity / implementation cost (lower wins on ties).
  • Accessibility and reduced-motion friendliness.
  • Performance cost (transform/opacity preferred).
  • Dependency footprint and licence cost.
  • Design-system fit.
  • Appropriateness to website vs web application.

How it connects

  • Uses python -m motif ranking to keep scoring reproducible and auditable.
  • Passes the winner to framework-adaptation; logs the table via source-governance.

Notes

When two candidates tie on effectiveness, the simpler, cheaper, more accessible one wins. Combining multiple high-attention effects requires explicit justification recorded here.

Keep looking

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