Agent skill · AI & Agents

godot-physics

Godot physics skill for rigid bodies, areas, collision layers, and raycasting.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill godot-physics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadGrepWriteBashEditGlobWebFetch
Path: library/specializations/game-development/skills/godot-physics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Godot Physics Skill Physics system implementation for Godot Engine. ## Overview This skill provides capabilities for implementing physics-based gameplay in Godot. ## Capabilities - Configure RigidBody2D/3D - Set up collision layers and masks - Implement raycasting and shape casting - Handle Area2D/3D triggers - Configure physics materials ## Usage Patterns ```gdscript extends RigidBody2D func _physics_process(delta): var space_state = get_world_2d().direct_space_state var query = PhysicsRayQueryParameters2D.create(position, target) var result = space_state.intersect_ray(query) ``` ## References - [Godot Physics](https://docs.godotengine.org/en/stable/tutorials/physics/)

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Usage Patterns
  4. References
Ships with 1 file
  • README.md
More from babysitter
All skills →
About this skill
What does the godot-physics skill do?

Godot physics skill for rigid bodies, areas, collision layers, and raycasting.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill godot-physics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going