skills/thedivergentai/gd-agentic-skills/godot-genre-tower-defense

godot-genre-tower-defense

Installation
SKILL.md

Genre: Tower Defense

Strategic placement, resource management, and escalating difficulty define tower defense.

Core Loop

  1. Prepare: Build/upgrade towers with available currency
  2. Wave: Enemies spawn and traverse path toward goal
  3. Defend: Towers auto-target and damage enemies
  4. Reward: Kills grant currency
  5. Escalate: Waves increase in difficulty/complexity

NEVER Do (Expert Anti-Patterns)

Design & Strategy

  • NEVER make all towers have the same niche; strictly ensure distinct specialties: Aura Slow, Armor Piercing, Anti-Air, Burst Sniper, and Splash Damage.
  • NEVER allow a "Death Spiral" with no exit; strictly provide small comeback bonuses or interest on saved gold to prevent early inevitable failure.
  • NEVER make early waves feel like busywork; strictly provide an "Early Call" bonus to skip wait times and accelerate engagement.
  • NEVER trust client-side economy updates; strictly require the authoritative server to validate currency addition and tower purchases in co-op.

Pathing & Placement

  • NEVER allow the player to "Seal" the exit in mazing games; strictly validate path existence with NavigationServer2D.map_get_path() before finalizing tower placement.
  • NEVER use synchronous bake_navigation_polygon() for mazing; strictly offload to a worker thread to prevent 100ms+ frame hitches during placement.
  • NEVER use global coordinates for grid logic; strictly convert to Vector2i/Vector3i to ensure pixel-perfect tower alignment.

Performance & Systems

  • NEVER call get_overlapping_bodies() every frame; strictly use signals (body_entered/body_exited) to maintain a local target cache.
  • NEVER use _process() for projectile movement if count > 500; strictly use the PhysicsServer2D/3D directly for high-performance bullet-hell tiers.
  • NEVER spawn hundreds of projectiles as full Nodes; strictly use Object Pooling to reuse resources and avoid garbage collection stutters.
  • NEVER use standard Strings for priorities; strictly use StringName (&"first", &"strongest") for O(1) hash comparisons in targeting loops.
  • NEVER ignore the progress property on PathFollow nodes; strictly use it as the O(1) way to identify the target closest to exit.
  • NEVER process tower search logic every frame; strictly throttle ACQUIRE searches (e.g., every 5-10 frames) to save significant CPU cycles.
  • NEVER scale Tower CollisionShape non-uniformly; strictly adjust the radius property of the Shape resource to preserve collision math.
  • NEVER delete enemies immediately on death; strictly use set_deferred("disabled", true) and wait one frame to prevent physics server crashes.
  • NEVER hardcode waves in huge switch statements; strictly use Custom Resources (.tres) for clean balancing and sequence editing.

🛠 Expert Components (scripts/)

Original Expert Patterns

  • wave_manager.gd - Professional wave orchestrator with Resource-based enemy composition and cleanup.
  • tower.gd - Base turret class with FSM state management and firing logic.
  • tower_targeting_system.gd - Autonomous priority logic (First/Last/Strongest/Weakest) for efficient targeting.

Modular Components


Phase Skills Purpose
1. Grid/Path godot-tilemap-mastery, navigation-2d Defining where enemies walk and towers build
2. Towers math-geometry, area-2d Range checks, rotation, projectile prediction
3. Enemies path-following, steering-behaviors Movement along paths
4. Management state-machines, loop-management Wave spawning logic, game phases
5. UI ui-system, drag-and-drop Building towers, inspecting stats

Architecture Overview

1. Wave Manager

Handles the timing and godot-composition of enemy waves.

# wave_manager.gd
extends Node

signal wave_started(wave_index: int)
signal wave_cleared
signal enemy_spawned(enemy: Node2D)

@export var waves: Array[Resource] # Array of WaveDefinition resources
var current_wave_index: int = 0
var active_enemies: int = 0

func start_next_wave() -> void:
    if current_wave_index >= waves.size():
        print("All waves cleared!")
        return
        
    var wave_data = waves[current_wave_index]
    wave_started.emit(current_wave_index)
    _spawn_wave(wave_data)
    current_wave_index += 1

func _spawn_wave(wave: WaveResource) -> void:
    for group in wave.groups:
        await get_tree().create_timer(group.delay).timeout
        for i in group.count:
            var enemy = group.enemy_scene.instantiate()
            add_child(enemy)
            active_enemies += 1
            enemy.tree_exiting.connect(_on_enemy_died)
            await get_tree().create_timer(group.interval).timeout

func _on_enemy_died() -> void:
    active_enemies -= 1
    if active_enemies <= 0:
        wave_cleared.emit()

2. Tower Logic (State Machine)

Towers act as autonomous agents.

  • States: Idle, AcquireTarget, Attack, Cooldown.
  • Targeting Priority: First, Last, Strongest, Weakest, Closest.
# tower.gd
extends Node2D

var targets_in_range: Array[Node2D] = []
var current_target: Node2D

func _physics_process(delta: float) -> void:
    if current_target == null or not is_instance_valid(current_target):
        _acquire_target()
    
    if current_target:
        _rotate_turret(current_target.global_position)
        if can_fire():
            fire_projectile()

func _acquire_target() -> void:
    # Example: Target closest to end of path
    var max_progress = -1.0
    for enemy in targets_in_range:
        if enemy.progress > max_progress:
            current_target = enemy
            max_progress = enemy.progress

3. Pathfinding Variants

A. Fixed Path (Kingdom Rush style)

Enemies follow a pre-defined Path2D.

  • Implementation: PathFollow2D as parent of Enemy.
  • Pros: Deterministic, easy to balance, optimized.
  • Cons: Less player agency in shaping the path.

B. Mazing (Fieldrunners style)

Players build towers to block/reroute enemies.

  • Implementation: NavigationAgent2D on enemies. Towers update NavigationRegion2D (bake on separate thread).
  • Pros: High strategic depth.
  • Cons: Computationally expensive recalculation, needs anti-blocking logic (don't let player seal the exit).

Key Mechanics Implementation

Targeting Math (Projectile Prediction)

To hit a moving target, you must predict where it will be.

func get_predicted_position(target: Node2D, projectile_speed: float) -> Vector2:
    var to_target = target.global_position - global_position
    var time_to_hit = to_target.length() / projectile_speed
    return target.global_position + (target.velocity * time_to_hit)

Economy

Money management is the secondary core loop.

  • Kill Rewards: Direct feedback for success.
  • Interest/Income: Rewarding saved money (risk/reward).
  • Early Calling: Bonus money for starting the next wave early.

Common Pitfalls

  1. Death Spirals: If a player leaks one enemy, they lose money/lives, making the next wave harder, leading to inevitable failure. Fix: Catch-up mechanics or discrete wave difficulty.
  2. Useless Towers: Every tower type must have a distinct niche (AoE, Slow, Armor Pierce, Anti-Air).
  3. Path Blocking: In mazing games, ensure players cannot completely block the path to the exit. Use NavigationServer2D.map_get_path to validate placement before building.

Godot-Specific Tips

  • Physics Layers: Put enemies on a specific layer (e.g., Layer 2) and tower "range" Areas on a different mask to avoid towers detecting each other or walls.
  • Area2D Performance: For massive numbers of enemies, avoid monitorable/monitoring on every frame if possible. Use PhysicsServer2D queries for optimization if enemy count > 500.
  • Object Pooling: Essential for projectiles and enemies to avoid garbage collection stutters during intense waves.

Reference

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