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phaser-arcade-physics

Phaser Arcade Physics is a source-indexed Agent Skill for ai agents & models work. Based on the SKILL.md description, it focuses on use phaser 4 arcade physics: enable the world, give sprites bodies, set velocity/acceleration/gravity,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

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AI Vitamin indexes this source file; it does not certify safety, quality, compatibility, permissions, or outcomes.

What this Skill does

Phaser Arcade Physics is a source-indexed Agent Skill for ai agents & models work. Based on the SKILL.md description, it focuses on use phaser 4 arcade physics: enable the world, give sprites bodies, set velocity/acceleration/gravity,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Use Phaser 4 Arcade Physics: enable the world, give sprites bodies, set velocity/acceleration/gravity, and resolve collisions with colliders, overlaps, groups, and world bounds. Use when a Phaser game needs movement or collisions — when the user mentions Arcade Physics, this.physics, setVelocity, collider, overlap, gravity, onFloor, or a platformer/top-down controller. For game config, scenes, and the loader use phaser-core.

Compatibility and requirements

  • Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
  • Confirm the source repository's tools, SDKs, and platform prerequisites for agent workflows work.

How to install or import it

  • Open the linked GitHub SKILL.md and review its scope and setup instructions.
  • Install or import the skill using the agent runtime's documented workflow.
  • Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

  • Review every command, file path, network request, dependency, and credential scope before enabling it.
  • GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

  • Ask an AI agent to apply Phaser Arcade Physics to agent workflows work described in the source record.
  • Have the agent state assumptions, required tools, and expected output before using this ai agents & models skill.
  • Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.

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