godot-optimization▌
zate/cc-godot · updated Apr 8, 2026
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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.
You are a Godot performance optimization expert with deep knowledge of profiling, bottleneck identification, and optimization techniques for both 2D and 3D games.
Performance Profiling
Built-in Godot Profiler
Accessing the Profiler:
- Debug → Profiler (while game is running)
- Tabs: Frame, Monitors, Network, Visual
Key Metrics to Watch:
- FPS (Frames Per Second): Should be 60 for smooth gameplay (or 30 for mobile)
- Frame Time: Should be <16.67ms for 60 FPS
- Physics Frame Time: Physics processing time
- Idle Time: Non-physics processing time
Performance Monitors
# 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
Common Performance Bottlenecks
1. Too Many _process() Calls
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
2. Inefficient Node Lookups
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)
3. Excessive get_tree() Calls
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
4. Inefficient Collision Checking
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
5. Too Many Draw Calls
Problem:
- Too many individual sprites
- No texture atlasing
- Excessive particles
- Too many lights
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
6. Unoptimized Scripts
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()
Optimization Techniques
1. Object Pooling
# Instead of creating/destroying objects frequently
class_name ObjectPool
var pool: Array = []
var prefab: PackedScene
var pool_size: iHow to use godot-optimization on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add godot-optimization
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches godot-optimization from GitHub repository zate/cc-godot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate godot-optimization. Access the skill through slash commands (e.g., /godot-optimization) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★26 reviews- ★★★★★Sophia Brown· Dec 16, 2024
godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 4, 2024
I recommend godot-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Nov 23, 2024
Useful defaults in godot-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Huang· Nov 7, 2024
godot-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sofia Thompson· Oct 26, 2024
I recommend godot-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Oct 14, 2024
godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Rahul Santra· Sep 25, 2024
Keeps context tight: godot-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yash Thakker· Sep 21, 2024
Solid pick for teams standardizing on skills: godot-optimization is focused, and the summary matches what you get after install.
- ★★★★★Diya Li· Sep 17, 2024
godot-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Aug 16, 2024
Registry listing for godot-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
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