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Effect Discovery

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.

Suraj787 9d0fbb4 1.3 KB Updated
Product & Planning

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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.

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