Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

godot-performance-optimizationGodot 性能优化

Agent Skill

godot-performance-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,118

周安装

91

GitHub Stars

138

下载量

743
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:godot-performance-optimization(Godot 性能优化)
来源仓库:https://github.com/thedivergentai/gd-agentic-skills
仓库路径:skills/godot-performance-optimization
安装命令:
npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot-performance-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/thedivergentai/gd-agentic-skills --skill godot-performance-optimization

简介

godot-performance-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 适用于 Godot 性能优化相关的技术调研与实现方案筛选场景。
  • 通过 npx skills add 命令从指定仓库安装,需确保宿主平台兼容。
  • 安装前建议核实仓库是否仍在维护,并评估其安全性与稳定性。
  • 该技能可能触发联网或文件操作,请在受控环境中先行测试后再使用。

SKILL.md

Performance Optimization

Profiler-driven analysis, object pooling, and visibility culling define optimized game performance.

Available Scripts

worker_thread_pool_manager.gd

Expert logic for offloading heavy computation to Godot 4's WorkerThreadPool for multi-threaded processing.

object_pool_system.gd

Minimal allocation strategy using node visibility and process toggling instead of constant instantiation.

rendering_server_direct.gd

Bypassing the SceneTree logic for massive canvas item rendering directly via the RenderingServer.

low_level_physics_query.gd

High-performance direct physics space state queries, faster than using RayCast nodes for hundreds of checks.

custom_monitor_profiler.gd

Implementation of real-time performance monitoring using Performance.get_monitor() for bottleneck detection.

manual_culling_logic.gd

Disabling off-screen logic manually using VisibilityNotifiers to cull CPU-heavy processing.

shared_resource_strategy.gd

Expert management of Local-to-Scene vs Shared resources to balance memory usage and unique instance states.

texture_array_batching.gd

Reducing draw calls and state changes by utilizing TextureArrays for multi-item shader-based batching.

multimesh_optimizer.gd

Rendering thousands of animated mesh instances via hardware instancing (MultiMeshInstance3D).

navigation_agent_optimization.gd

Staggered path update strategy for massive AI crowds to prevent pathfinding bottlenecks in a single frame.

NEVER Do in Performance Optimization

  • NEVER optimize without profiling first — "I think physics is slow" without data? Premature optimization. ALWAYS use Debug → Profiler (F3) to identify actual bottleneck [20].
  • NEVER use print() in release buildsprint() every frame = file I/O bottleneck + log spam. Use @warning_ignore or conditional if OS.is_debug_build(): [21].
  • NEVER ignore VisibleOnScreenNotifier2D for off-screen entities — Enemies processing logic off-screen = wasted CPU. Disable set_process(false) when screen_exited [22].
  • NEVER instantiate nodes in hot loopsfor i in 1000: var bullet = Bullet.new() = 1000 allocations. Use object pools, reuse instances [23].
  • NEVER use get_node() in _process() — Calling get_node("Player") 60x/sec = tree traversal spam. Cache in @onready var player:= $Player [24].
  • NEVER forget to batch draw calls — 1000 unique sprites = 1000 draw calls. Use TextureAtlas (sprite sheets) + MultiMesh for instanced rendering [25].
  • NEVER block the main thread for heavy operations — Avoid OS.delay_msec() or long synchronous data processing. Use WorkerThreadPool to keep framerates steady.
  • NEVER use complex collision shapes for physics queries — High-poly convex shapes are expensive to resolve. Prefer simplified primitives (Circle, Rectangle, Box).
  • NEVER forget to disconnect local lambda signals — Anonymous lambdas connected to global signals can cause memory leaks if the capturing object is freed.
  • NEVER use large textures without compression — VRAM is limited. Use VRAM Compressed (S3TC/BPTC) for fast lookup and reduced memory footprint.
  • NEVER perform tree modifications during physics steps — Adding/removing nodes during _inter_ray or _physics_process can lock the physics server. Use call_deferred.

Debug → Profiler (F3)

Tabs:

  • Time: Function call times
  • Memory: RAM usage
  • Network: RPCs, bandwidth
  • Physics: Collision checks

Common Optimizations

Object Pooling

var bullet_pool: Array[Node] = []

func get_bullet() -> Node:
    if bullet_pool.is_empty():
        return Bullet.new()
    return bullet_pool.pop_back()

func return_bullet(bullet: Node) -> void:
    bullet.hide()
    bullet_pool.append(bullet)

Visibility Notifier

# Add VisibleOnScreenNotifier2D
# Disable processing when off-screen
func _on_screen_exited() -> void:
    set_process(false)

func _on_screen_entered() -> void:
    set_process(true)

Reduce Draw Calls

# Use TextureAtlas (sprite sheets)
# Batch similar materials
# Fewer unique textures

Reference

Related

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.37%
按下载量换算263

Claude

31.96%
按下载量换算237

Cursor

19.59%
按下载量换算146

Gemini CLI

10.34%
按下载量换算77

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills