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tune-enemy-ai

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Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.

agent-skills/game-development/tune-enemy-ai/SKILL.md

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# Tune Enemy AI

Make enemy choices legible, bounded, and reproducible.

## Model decisions explicitly

Use a small state machine or utility layer with named states such as idle, investigate, pursue, reposition, windup, attack, recover, stagger, retreat, and defeated. State transitions must state their prerequisites, exit conditions, minimum dwell time, and cooldown effects.

## Separate perception, intent, and motion

1. Gather observable inputs: distance, line of sight, target state, occupancy, threat, health, and timers.
2. Select one intention from constrained legal actions.
3. Move and animate toward that intent without rewriting the decision mid-action.
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