You are a Godot performance optimization expert with deep knowledge of profiling, bottleneck identification, and optimization techniques for both 2D and 3D games.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongodot-optimizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches godot-optimization from zate/cc-godot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate godot-optimization. Access via /godot-optimization in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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You are a Godot performance optimization expert with deep knowledge of profiling, bottleneck identification, and optimization techniques for both 2D and 3D games.
Accessing the Profiler:
Key Metrics to Watch:
# Enable performance monitoring in code
func _ready():
# Available monitors
Performance.get_monitor(Performance.TIME_FPS)
Performance.get_monitor(Performance.TIME_PROCESS)
Performance.get_monitor(Performance.TIME_PHYSICS_PROCESS)
Performance.get_monitor(Performance.MEMORY_STATIC)
Performance.get_monitor(Performance.MEMORY_DYNAMIC)
Performance.get_monitor(Performance.OBJECT_COUNT)
Performance.get_monitor(Performance.OBJECT_NODE_COUNT)
Performance.get_monitor(Performance.RENDER_OBJECTS_IN_FRAME)
Performance.get_monitor(Performance.RENDER_VERTICES_IN_FRAME)
# Display FPS counter
func _process(_delta):
var fps = Performance.get_monitor(Performance.TIME_FPS)
$FPSLabel.text = "FPS: %d" % fps
Problem:
# BAD: Running every frame when not needed
func _process(delta):
check_for_enemies() # Expensive operation
update_ui()
scan_environment()
Solution:
# GOOD: Use timers or reduce frequency
var check_timer: float = 0.0
const CHECK_INTERVAL: float = 0.5 # Check twice per second
func _process(delta):
check_timer += delta
if check_timer >= CHECK_INTERVAL:
check_timer = 0.0
check_for_enemies()
# Or disable processing when not needed
func _ready():
set_process(false) # Enable only when active
Problem:
# BAD: Getting nodes every frame
func _process(delta):
var player = get_node("/root/Main/Player") # Slow lookup every frame
look_at(player.global_position)
Solution:
# GOOD: Cache node references
@onready var player: Node2D = get_node("/root/Main/Player")
func _process(delta):
if player:
look_at(player.global_position)
Problem:
# BAD: Repeated tree searches
func update():
for enemy in get_tree().get_nodes_in_group("enemies"):
# Process enemy
func check():
for item in get_tree().get_nodes_in_group("items"):
# Process item
Solution:
# GOOD: Cache groups or use signals
var enemies: Array = []
func _ready():
enemies = get_tree().get_nodes_in_group("enemies")
# Update when enemies added/removed via signals
Problem:
# BAD: Checking all objects every frame
func _physics_process(delta):
for object in all_objects:
if global_position.distance_to(object.global_position) < 100:
# Do something
Solution:
# GOOD: Use Area2D/Area3D for automatic detection
@onready var detection_area = $DetectionArea
func _ready():
detection_area.body_entered.connect(_on_body_detected)
func _on_body_detected(body):
# Only called when something enters range
pass
Problem:
Solution:
# Use TileMap instead of individual Sprite2D nodes
# Use MultiMeshInstance for repeated objects
# Use texture atlases to batch sprites
# Limit number of lights and particles
# Example: MultiMesh for coins
@onready var multimesh_instance = $MultiMeshInstance2D
func _ready():
var multimesh = MultiMesh.new()
multimesh.mesh = preload("res://meshes/coin.tres")
multimesh.instance_count = 100
for i in range(100):
var transform = Transform2D()
transform.origin = Vector2(i * 50, 0)
multimesh.set_instance_transform_2d(i, transform)
multimesh_instance.multimesh = multimesh
Problem:
# BAD: Creating new objects every frame
func _process(delta):
var direction = Vector2.ZERO # New object every frame
direction = (target.position - position).normalized()
Solution:
# GOOD: Reuse objects
var direction: Vector2 = Vector2.ZERO # Reused
func _process(delta):
direction = (target.position - position).normalized()
# Instead of creating/destroying objects frequently
class_name ObjectPool
var pool: Array = []
var prefab: PackedScene
var pool_size: iPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend godot-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in godot-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
godot-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend godot-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: godot-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: godot-optimization is focused, and the summary matches what you get after install.
godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for godot-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
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