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Performance Budgeting

Community
MRCalderon3D
performance-budgeting

Set and manage frame, load, memory, streaming, or bandwidth budgets before performance debt becomes structural.

Overview

PublisherMRCalderon3D
Repositoryeverything-game-dev-code
Skill nameperformance-budgeting
Stars
85
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Performance 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/performance-budgeting .claude/skills/performance-budgeting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Performance 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 Performance 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 Performance 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.

Performance Budgeting

Purpose

Set and manage frame, load, memory, streaming, or bandwidth budgets before performance debt becomes structural.

Use When

  • target hardware is defined
  • performance problems are emerging
  • content scale is increasing

Inputs

  • target platforms
  • feature set
  • technical architecture
  • content assumptions

Process

  1. set budgets by platform and major runtime mode
  2. allocate budget ownership by system or content class
  3. choose representative benchmark scenarios
  4. review regressions at milestone checkpoints
  5. link descopes or optimization work to measured overages

Outputs

  • budget sheet
  • owner-by-budget map
  • benchmark scenarios
  • regression review cadence

Quality Bar

  • budgets are set per system (frame time, memory, draw calls, asset sizes) against the weakest target device
  • every budget has an owner and a repeatable measurement method
  • regressions are caught by measurement at integration time, not discovered in QA
  • budget exceptions are negotiated and recorded, not silently absorbed

Common Failure Modes

  • budgets defined as totals with no per-system allocation, so no one owns overruns
  • profiling only on developer hardware, missing the real target floor
  • performance treated as a polish-phase task instead of a standing budget
  • one-off optimizations that decay because no measurement guards them

Related Agents

  • performance-reviewer
  • producer
  • technical-artist

Related Commands

  • perf-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 Performance Budgeting AI skill do?

Set and manage frame, load, memory, streaming, or bandwidth budgets before performance debt becomes structural.

Why use Performance Budgeting on TypingMind?

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

Which AI models can use Performance 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 Performance Budgeting?

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

Is the Performance 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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