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Godot GDScript Patterns

godot-gdscript-patterns

Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.

techwavedev/agi-agent-kit0installs4stars

SKILL.md

Full skill instructions

Godot GDScript Patterns

Production patterns for Godot 4.x game development with GDScript, covering architecture, signals, scenes, and optimization.

Use this skill when

  • Building games with Godot 4
  • Implementing game systems in GDScript
  • Designing scene architecture
  • Managing game state
  • Optimizing GDScript performance
  • Learning Godot best practices

Do not use this skill when

  • The task is unrelated to godot gdscript patterns
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/​implementation-playbook.md.

Resources

  • resources/​implementation-playbook.md for detailed patterns and examples.
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AGI Framework Integration

Adapted for @techwavedev/​agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve game design decisions, performance benchmarks, and engine configuration. Cache asset pipeline settings and build configurations.

# Check for prior game development context before starting
python3 execution/​memory_manager.py auto --query "game architecture and engine patterns for Godot Gdscript Patterns"

Storing Results

After completing work, store game development decisions for future sessions:

python3 execution/​memory_manager.py store \
  --content "Game: ECS architecture with 60fps target, spatial partitioning for collision, asset pipeline with LOD" \
  --type technical --project <project> \
  --tags godot-gdscript-patterns gaming

Multi-Agent Collaboration

Share engine decisions and performance budgets with art/​design agents and QA agents.

python3 execution/​cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Game feature implemented — performance profiled, asset pipeline updated, QA test plan created" \
  --project <project>
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