Home / cowork-os / cowork-os · resources/skills/game-performance/SKILL.md · GitHub

game-performance skillA

game-performance is agent-read markdown (skill) from cowork-os/cowork-os: Cross-engine game performance: draw call optimization, LOD, object pooling, GPU profiling, memory management, and platform-specific tuning..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Game Performance Optimization

## Purpose

Cross-engine game performance: draw call optimization, LOD, object pooling, GPU profiling, memory management, and platform-specific tuning.

## Routing

- Use when: Use when the user asks about game performance optimization, FPS improvement, draw call reduction, LOD configuration, object pooling, GPU profiling, memory optimization, or frame time budgeting in any game engine.
- Do not use when: Do not use for engine-specific coding tasks (use unity-development or unreal-development), or web/app performance optimization unrelated to games.
- Outputs: Performance analysis, optimization strategies, profiling guidance, and engine-specific configuration.
- Success criteria: Returns actionable optimization steps with measurable targets (FPS, draw calls, memory).

## Trigger Examples

### Positive

- Use the game-performance skill for this request.
- Help me with game performance optimization.
- Use when the user asks about game performance optimization, FPS improvement, draw call reduction, LOD configuration, object pooling, GPU profiling, memory optimization, or frame time budgeting in any game engine.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add cowork-os/cowork-os/game-performance@v1.0.0
Exact content
mdr add cowork-os/cowork-os/game-performance@sha256:2f32413ba2cb50d4

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_a54fb7thy6buru36.svg)](https://markdownregistry.com/a/art_a54fb7thy6buru36)

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Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-19 83b1d30 1,976 BA view · diff
v1.0.02026-08-20 7b8f41e 1,977 BA view · diff
git:20260228.ea993e12026-02-28 ea993e1 1,894 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1976 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

cowork-os/cowork-os · 459 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_a54fb7thy6buru36
GET https://markdownregistry.com/api/v1/resolve?ref=cowork-os/cowork-os/game-performance
GET https://markdownregistry.com/api/v1/blob/2f32413ba2cb50d44907fd30624a07dfd5c5214fcf1133f8e42691561c5ed9bf

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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