tinyworld-auto-batching

Installation
SKILL.md

Tiny World Auto Batching

Auto should not call the model on every placement.

Current intended model:

  • Capture the current home board as sparse 8x8 JSON using snapshotCells().
  • Ask the model for a ranked batch of candidate tile actions matching AUTO_SUGGESTIONS_SCHEMA.
  • Spend autoSuggestionQueue locally for multiple Auto placements.
  • Refresh after AUTO_REFRESH_EVERY Auto placements or when the queue runs out.
  • Auto still places on the clicked cell. The model suggests tile/action definitions, not coordinates.

Implementation guardrails:

  • Keep provider/model/key state shared with the Generate modal via AI_LS.
  • Use normalizeAutoAction before applying model output.
  • Use adaptAutoSuggestionToCell(action, x, z) so same-kind clicks increase local intensity.
  • If no API key exists, open the Generate modal with the Auto key message.
  • Do not add a backend or new dependency.
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