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Gameplay Architecture

Community
MRCalderon3D
gameplay-architecture

Define system ownership, boundaries, state flow, and extensibility for gameplay code across engines.

Overview

PublisherMRCalderon3D
Repositoryeverything-game-dev-code
Skill namegameplay-architecture
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 Gameplay Architecture 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/gameplay-architecture .claude/skills/gameplay-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gameplay Architecture 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 Gameplay Architecture 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 Gameplay Architecture 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.

Gameplay Architecture

Purpose

Define system ownership, boundaries, state flow, and extensibility for gameplay code across engines.

Use When

  • a feature touches multiple systems
  • architecture is becoming hard to reason about
  • new systems need stable contracts

Inputs

  • feature intent
  • engine constraints
  • existing architecture
  • test and performance requirements

Process

  1. define system responsibilities and boundaries
  2. map state ownership and event flow
  3. separate authored data, runtime logic, and presentation
  4. identify extension points and anti-coupling measures
  5. record risks, migration concerns, and validation strategy

Outputs

  • architecture sketch
  • system boundary notes
  • state ownership map
  • implementation constraints

Quality Bar

  • gameplay systems communicate through explicit interfaces or events, not direct cross-references
  • game state ownership is unambiguous: each piece of state has exactly one writer
  • systems can be tested in isolation with stubbed dependencies
  • the update/tick flow is documented: what runs in what order, and why

Common Failure Modes

  • god objects that accumulate every gameplay responsibility
  • bidirectional dependencies between systems that make any change risky
  • state mutated from multiple systems with no clear owner
  • architecture that only works at current scale and collapses with content growth

Related Agents

  • architect
  • technical-design-lead
  • gameplay-programmer

Related Commands

  • tech-design
  • plan
  • verify

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 Gameplay Architecture AI skill do?

Define system ownership, boundaries, state flow, and extensibility for gameplay code across engines.

Why use Gameplay Architecture on TypingMind?

Because you install it once and use it with any model. Gameplay Architecture 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 Gameplay Architecture 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/gameplay-architecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gameplay Architecture?

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 Gameplay Architecture?

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

Is the Gameplay Architecture 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.

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