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Memory Budgeting

Community
MRCalderon3D
memory-budgeting

Define residency and memory budgets so content, streaming, and runtime systems fit target platforms.

Overview

PublisherMRCalderon3D
Repositoryeverything-game-dev-code
Skill namememory-budgeting
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 Memory Budgeting 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/memory-budgeting .claude/skills/memory-budgeting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memory Budgeting 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 Memory Budgeting 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 Memory Budgeting 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.

Memory Budgeting

Purpose

Define residency and memory budgets so content, streaming, and runtime systems fit target platforms.

Use When

  • the project has constrained hardware targets
  • memory spikes cause instability
  • large content sets are growing

Inputs

  • target platforms
  • asset classes
  • streaming model
  • system residency assumptions

Process

  1. budget memory by asset and system class
  2. define who owns loading and unloading decisions
  3. measure peak and steady-state memory in representative flows
  4. flag accidental hard references or pinned content
  5. connect fixes to content and architecture owners

Outputs

  • memory budget sheet
  • residency rules
  • peak-memory review notes
  • ownership map

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

  • performance-reviewer
  • technical-artist
  • build-engineer

Related Commands

  • memory-budget
  • verify
  • release-check

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 Memory Budgeting AI skill do?

Define residency and memory budgets so content, streaming, and runtime systems fit target platforms.

Why use Memory Budgeting on TypingMind?

Because you install it once and use it with any model. Memory Budgeting 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 Memory Budgeting 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/memory-budgeting. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memory Budgeting?

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 Memory Budgeting?

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

Is the Memory Budgeting 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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