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Effect discovery

Skill Suraj787/motif/skills/effect-discovery

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-discovery

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when a pattern and interaction objective are fixed and you need to enumerate candidate effects from the approved offline registry that could realise that pattern.

SKILL.md

1.3 KB, as published. Nobody here has run it

Effect Discovery

Responsibility: Given a pattern + constraints, produce a set of candidate effects from the approved registry. Discovery is breadth; selection comes next.

When to invoke

  • After interaction-design (step 8 of the root workflow).

Inputs

  • The chosen pattern and constraint set.
  • Target framework and design-system tokens.

Outputs

  • Multiple candidate effects, each with: registry id, complexity tier, dependencies, framework fit, accessibility notes, and provenance.

How it connects

  • Queries registry/ via python -m motif (offline approved registry by default).
  • Reads intelligence/ to map a pattern to candidate effect families.
  • Only source-governance may widen the search beyond the offline registry via an explicit source-refresh.

Notes

Always return more than one candidate, and always include the least-complex option (often "CSS-only" or "no motion"). Do not pre-rank here; hand the full candidate set to effect-selection. Discard any candidate whose licence or provenance is unresolved.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.