本文へ移動
cccskills
無料GitHub で公開

pc-games

PC and console game development principles. Engine selection, platform features, optimization strategies.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md2.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

PC/Console Game Development

Engine selection and platform-specific principles.


1. Engine Selection

Decision Tree

What are you building?
│
├── 2D Game
│   ├── Open source important? → Godot
│   └── Large team/assets? → Unity
│
├── 3D Game
│   ├── AAA visual quality? → Unreal
│   ├── Cross-platform priority? → Unity
│   └── Indie/open source? → Godot 4
│
└── Specific Needs
    ├── DOTS performance? → Unity
    ├── Nanite/Lumen? → Unreal
    └── Lightweight? → Godot

Comparison

FactorUnity 6Godot 4Unreal 5
2DGoodExcellentLimited
3DGoodGoodExcellent
LearningMediumEasyHard
CostRevenue shareFree5% after $1M
TeamAnySolo-MediumMedium-Large

2. Platform Features

Steam Integration

FeaturePurpose
AchievementsPlayer goals
Cloud SavesCross-device progress
LeaderboardsCompetition
WorkshopUser mods
Rich PresenceShow in-game status

Console Requirements

PlatformCertification
PlayStationTRC compliance
XboxXR compliance
NintendoLotcheck

3. Controller Support

Input Abstraction

Map ACTIONS, not buttons:
- "confirm" → A (Xbox), Cross (PS), B (Nintendo)
- "cancel" → B (Xbox), Circle (PS), A (Nintendo)

Haptic Feedback

IntensityUse
LightUI feedback
MediumImpacts
HeavyMajor events

4. Performance Optimization

Profiling First

EngineTool
UnityProfiler Window
GodotDebugger → Profiler
UnrealUnreal Insights

Common Bottlenecks

BottleneckSolution
Draw callsBatching, atlases
GC spikesObject pooling
PhysicsSimpler colliders
ShadersLOD shaders

5. Engine-Specific Principles

Unity 6

  • DOTS for performance-critical systems
  • Burst compiler for hot paths
  • Addressables for asset streaming

Godot 4

  • GDScript for rapid iteration
  • C# for complex logic
  • Signals for decoupling

Unreal 5

  • Blueprint for designers
  • C++ for performance
  • Nanite for high-poly environments
  • Lumen for dynamic lighting

6. Anti-Patterns

❌ Don't✅ Do
Choose engine by hypeChoose by project needs
Ignore platform guidelinesStudy certification requirements
Hardcode input buttonsAbstract to actions
Skip profilingProfile early and often

Remember: Engine is a tool. Master the principles, then adapt to any engine.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

2d-games

無料

2D game development principles. Sprites, tilemaps, physics, camera.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

3d-games

無料

3D game development principles. Rendering, shaders, physics, cameras.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

aesthetic

無料

Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when implementing or managing persistent, hierarchical memory systems for AI agents. Covers cross-session state, fact supersession, and self-managed memory tools to enable long-term recall and adaptive agent behavior.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.

日本語の概要は準備中です。原文の説明を表示しています。

VoDaiLocz/kilo-kit-mcp272026年9月13日 更新

VoDaiLocz のスキルをすべて見る

このスキルの問題を報告する