Implement actions, cooldowns, DoAfter flows, interruption, cancellation, and authoritative completion safely.
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ArcaneSS14/arcane-new11Updated Oct 22, 2026
FreePublished on GitHub
performance
Review hot paths, allocations, iteration, caching, event frequency, and correctness-preserving optimization.
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See how to installFiles included (3)
- SKILL.md822 B
- agents/openai.yaml259 B
- references/common-performance-pitfalls.md504 B
SKILL.md (original)
Review the instructions the agent will receive before you install.
Do not optimize from intuition alone. Identify a measured or clearly high-frequency path.
Review:
Update()frequency;- broad entity queries;
- per-tick allocations;
- LINQ and closures;
- repeated prototype or localization lookups;
- dictionary creation;
- network payload frequency;
- unnecessary dirtying;
- repeated pathfinding or atmos work;
- client rendering allocations.
Prefer established ECS queries, cached dependencies, reused buffers, event-driven updates, and narrower dirtying. Preserve behavior, prediction, and lifecycle safety.
Add a benchmark, profiler evidence, targeted test, or at least a reasoned before/after operation count when practical.
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