Physics Gameplay Patterns logo

Physics Gameplay Patterns

Community
MRCalderon3D
physics-gameplay-patterns

Use physics and collision in a way that supports feel, determinism expectations, and performance constraints.

Overview

PublisherMRCalderon3D
Repositoryeverything-game-dev-code
Skill namephysics-gameplay-patterns
Stars
85
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MRCalderon3D on GitHub. Read the source before you install it.

Installation

Install the Physics Gameplay Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MRCalderon3D/everything-game-dev-code.git /tmp/everything-game-dev-code
mkdir -p .claude/skills
cp -r /tmp/everything-game-dev-code/skills/engineering-common/physics-gameplay-patterns .claude/skills/physics-gameplay-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Physics Gameplay Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Physics Gameplay Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Physics Gameplay Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Physics Gameplay Patterns

Purpose

Use physics and collision in a way that supports feel, determinism expectations, and performance constraints.

Use When

  • movement, projectiles, collisions, or physical interactions are core to the feature
  • simulation is causing instability
  • feel and correctness are fighting each other

Inputs

  • movement goals
  • collision needs
  • determinism expectations
  • platform performance targets

Process

  1. define what is simulated versus authored or faked
  2. establish ownership of collision and response logic
  3. control update order and frame-rate sensitivity where needed
  4. add debug tools for contact, forces, and state transitions
  5. test extreme cases and stress conditions

Outputs

  • physics interaction rules
  • debug plan
  • edge-case list
  • performance notes

Quality Bar

  • makes ownership, state flow, and failure behavior explicit
  • improves maintainability without over-abstracting
  • supports testing, debugging, and safe iteration

Common Failure Modes

  • coupling systems through hidden globals or timing assumptions
  • writing logic that is hard to test or debug
  • optimizing the wrong layer before measuring

Related Agents

  • physics-programmer
  • gameplay-programmer
  • qa-lead

Related Commands

  • tech-design
  • verify
  • perf-budget

Notes

  • Keep this skill aligned with the relevant rules layer and current project documentation.
  • If engine-specific constraints materially change the workflow, hand off to the matching engine skill or engine-specific reviewer.

Frequently asked questions

What does the Physics Gameplay Patterns AI skill do?

Use physics and collision in a way that supports feel, determinism expectations, and performance constraints.

Why use Physics Gameplay Patterns on TypingMind?

Because you install it once and use it with any model. Physics Gameplay Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Physics Gameplay Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MRCalderon3D/everything-game-dev-code/tree/main/skills/engineering-common/physics-gameplay-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Physics Gameplay Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Physics Gameplay Patterns?

As many as you like. As long as a model supports skills, you can use Physics Gameplay Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Physics Gameplay Patterns AI skill free?

Yes. It is published on GitHub by MRCalderon3D under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
mattpocock logo

Improve Codebase Architecture

mattpocock
CommunityPopular

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

22.3K
264.4K
2 files
View
mattpocock logo

Prototype

mattpocock
CommunityPopular

Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

22.3K
264.4K
3 files
View
mattpocock logo

Research

mattpocock
CommunityPopular

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading…

22.3K
264.4K
1 files
View
mattpocock logo

Resolving Merge Conflicts

mattpocock
CommunityPopular

Use when you need to resolve an in-progress git merge/rebase conflict.

22.3K
264.4K
1 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇