Unity Pattern Selector

Use this skill to decide whether a pattern is justified. Do not recommend every pattern at once.

Guardrails

Mode: Both (Semi-Auto + Full-Auto) — advisory only, no REST skills

• Recommend at most 1-3 patterns, and explain why simpler options are not enough.

Pattern Guide

• ScriptableObject

  • Use for authored config, shared static data, event channels, and reusable data assets.
  • Avoid as the default home for per-run mutable gameplay state.

• C# events / delegates

  • Use for one-to-many notifications with clear ownership and unsubscribe points.
  • Avoid for imperative flows that need ordering, return values, or complex debugging.

• Global event bus / observer hub

  • Use sparingly and only when many systems truly need broad decoupled notifications.
  • Avoid as the default answer to coupling. It often hides ownership and makes debugging harder.

• Interfaces

  • Use when multiple implementations or clearer dependency boundaries are needed.
  • Avoid adding interfaces around every class without a real seam.

• State machine

  • Use for actors with mutually exclusive states and explicit transitions.
  • Avoid when a few booleans or a small command flow is enough.

• Object pool

  • Use for frequent spawn/despawn of bullets, VFX, enemies, UI items.
  • Avoid for rare objects or when lifetime is simple.

• Service layer

  • Use for a small number of cross-scene systems with explicit bootstrap and interfaces.
  • Avoid turning everything into hidden singletons or service locators.

• Generics / custom attributes

  • Use when they remove repeated boilerplate with clear type safety or editor metadata value.
  • Avoid when they make gameplay code harder to read than duplicated simple code.

Decision Lab: Same Goal, Multiple Implementations

The Pattern Guide above answers "which pattern?". For most non-trivial design decisions, the better exercise is: pick the 2-3 plausible implementations, put them side by side, and compare on switch cost, query cost, code complexity, and failure modes. Below is a worked example; use it as the shape for other decisions rather than as the answer.

Worked example: "Pause AI on 100 enemies for a cutscene"

Implementation	Switch cost (enter/exit cutscene)	Per-frame cost while paused	Code complexity	Failure modes
Field flag: each EnemyAI.Update starts with if (_paused) return;; manager sets the flag	O(N) writes, no allocations	N branch tests + dispatch overhead per frame	Lowest — one bool, one guard clause	Silent bugs when a dev adds a new Update and forgets the guard
enabled = false: manager disables the MonoBehaviour on every enemy	O(N) writes, no allocations	Zero — Unity skips disabled Behaviours in its message list	Low, but state spread across components	OnDisable / OnEnable side effects (coroutines stop, listeners unsubscribe) may fire unexpectedly
Subset list: manager keeps _active / _frozen lists; no per-enemy Update — manager ticks only _active	O(N) list move on switch	Proportional to _active count only — perfect early-cull	Highest — one source of truth for ownership, requires managed ticking	Adding a new Update on enemies reintroduces per-frame cost; the list is easy to desync if other code respawns enemies directly

How to use

• Pick the smallest scale where the trade-off matters. At N=5 all three are indistinguishable; at N=5000 only the subset list stays flat.
• State what gets worse under each option, not only what improves. A table with only upsides is a sign you haven't thought about it yet.
• The ECS lesson is that the same three shapes (value change, structural change, enableable) show up everywhere — the labels transfer even when the framework does not. Source: Dots101/Entities101/Assets/HelloCube/13. StateChange/SetStateSystem.cs:42-80 — one system dispatches to three implementations behind config.Mode, each with measurably different cost in the profiler.

When to skip this exercise

If one option is obviously bounded (N ≤ 10, state changes once per session, or the code runs once at startup), a single paragraph "we picked X because it's simplest" is enough. Decision Lab is for choices that will outlive the current task.

Output Format

• Recommended pattern(s)
• Why they fit this case
• Why not the simpler alternative
• Minimal implementation boundary
• Known tradeoffs