gecs
Solidgecs ECS framework API reference — the Entity-Component-System addon for Godot 4.x used by this project. Covers Entity, Component, System, World, QueryBuilder, Relationship, Observer, CommandBuffer, SystemTimer. Use when the task involves ECS architecture: creating entities with components, defining component data classes (C_ prefix), writing game logic systems, querying entities by component composition, entity relationships or links, reactive observers for component changes, safe structural changes during iteration, system tick rates, ECS world setup, debugging ECS queries or cache, or deferred entity destruction. Also trigger on gecs API calls: q.with_all(), ECS.world, ECS.process(), define_components(), cmd.add_component(). gecs has zero LLM training data — without this skill all ECS API calls will be fabricated. NOT relevant for standard Godot subsystems (physics, animation, UI, tilemap, shader, particles, navigation, signals, audio) unless explicitly connected to ECS.
Install
Quality Score: 81/100
Skill Content
Details
- Author
- RandallLiuXin
- Repository
- RandallLiuXin/GodotMaker
- Created
- 3 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Similar Skills
Semantically similar based on skill content — not just same category
bevy-game-engine
Bevy game engine: ECS, rendering, input, and asset management. Use when building Bevy games, working with entities/components/systems, or mentioning Rust gamedev or 2D/3D games.
gabe-entity
Entity-context reader — assembles ONE application entity's slice (code map + registry + bindings) into a context pack from the command center's committed data, without re-reading the codebase. Usage: /gabe-entity <slug> | list | <slug> --json
ecs-genai
Use whenever someone runs a GPU / ML / GenAI / LLM workload on Amazon ECS: GPU on ECS, ECS GPU-optimized AMI, g4dn/g5/g6/p4/p5 on ECS, which ECS launch type for GPU, Inferentia/Trainium/Neuron on ECS, distributed training, model inference or vLLM/Triton/TGI/Ray on ECS, Capacity Blocks, GPU sharing, ASG per GPU type. Covers GPU on ECS-on-EC2 and ECS Managed Instances (GPU AMIs, NVIDIA runtime, instance families); mixed-instance ASGs supported but constrained (no weighting; managed scaling protects on the smallest type); Capacity Blocks; inference/serving; Neuron; distributed ML; GPU observability; a GPU/ML security slice (PCI/HIPAA). AWS Fargate has NO GPU: use ECS-on-EC2, Managed Instances, ECS Anywhere, or keep Fargate and call Bedrock. Trigger even if GenAI is unsaid. Use eks-genai for Kubernetes/EKS; SageMaker for fully-managed ML; Bedrock for managed foundation models; ecs-architect for non-accelerator ECS design; ecs-build to render the settled design as Terraform; ecs-security for deep compliance.