Expert blueprint for sports games (FIFA, NBA 2K, Rocket League, Tony Hawk) covering physics-based ball interaction, team AI formations, contextual input, and match umpire/score authority. Broadcast framing routes to godot-camera-systems. Use when building soccer, basketball, hockey, racing sports, or arcade sports games. Keywords ball physics, magnus effect, formation AI, team tactics, contextual controls, steering behaviors.
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Use this Skill: https://skilld.dev/gh/thedivergentai/gd-agentic-skills/godot-genre-sports
This session only. Nothing lands on disk.
≈128 tokens on demand. Your agent reads this file only when SKILL.md points to it.
| Phase | Skills | Purpose |
|---|---|---|
| 1. Physics | physics-bodies, vehicle-wheel-3d |
Ball bounce, friction, player collisions |
| 2. AI | steering-behaviors, godot-state-machine-advanced |
Formations, marking, flocking |
| 3. Anim | godot-animation-tree-mastery |
Blended running, shooting, tackling |
| 4. Input | input-mapping |
Contextual buttons (Pass/Tackle share button) |
| 5. Camera | godot-camera-systems |
Dynamic broadcast view, zooming on action |
Source: SKILL.md on GitHub
The skill provides architectural blueprints and GDScript components for developing sports games in Godot 4. It includes modules for ball physics (Magnus effect), AI team management, and match state logic. No malicious patterns or security vulnerabilities were detected.
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Risk: LOW · No issues
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Signed by skilld at 9d6e91e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub 3 weeks ago.