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performance-optimization SKILL.md skillA

performance-optimization from ukanwat/overtime is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add ukanwat/overtime/performance-optimization@git:20260812.5b73825

Pins git:20260812.5b73825 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: ukanwat/overtime
Path: .claude/skills/performance-optimization/SKILL.md
Versions recorded: 1
Latest version: git:20260812.5b73825, committed Aug 12, 2026
Size: 9,242 bytes
Repository stars: 399
License: MIT

Find and fix game performance problems methodically — measure with the engine profiler first, reason about the frame-time budget, locate the CPU-vs-GPU bottleneck, then apply the right fix: object pooling, draw-call batching, fewer allocations/GC spikes, and asset budgets. Engine- neutral method that pairs with each engine's profiler. Use when the user mentions performance, optimize, low/dropping FPS, frame drops, stutter, lag, profiler, frame budget, draw calls, batching, garbage…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Performance optimization

Performance work is a measurement discipline, not a bag of tricks. The method is always the
same: **profile → find the one bottleneck → fix that → measure again**. This skill teaches that
loop and the highest-leverage fixes (pooling, batching, allocation control, asset budgets), and
points you at each engine's profiler. It pairs with `physics-tuning` for simulation cost.

## When to use

- Use when the frame rate is low or uneven, the game stutters/hitches, or it must hit a target
  (60 FPS desktop, 30/60 mobile) and currently doesn't.
- Use to decide *what* to optimize: profile, read the frame budget, and identify whether the CPU
  or GPU is the bottleneck before changing any code.
- Use to apply specific fixes: object pooling, draw-call/batch reduction, removing per-frame
  allocations and GC spikes, and setting asset budgets.

**When *not* to use:** for physics jitter/tunneling/timestep specifically, use `physics-tuning`.
For the engine's concrete profiler UI and rendering settings, use that
engine skill (`godot-export` covers some build settings; engine cores cover the rest). This skill
is the cross-engine method and the shared fixes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add ukanwat/overtime/performance-optimization@sha256:54cbf9da75bcefe7

The line at the top of this page pins the label git:20260812.5b73825, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_kudzg6j5gojscplo.svg)](https://markdownregistry.com/a/art_kudzg6j5gojscplo)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 12, 2026.

version	committed	commit	size	audit
git:20260812.5b73825 latest	2026-08-12	5b73825	9,242 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (9242 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

ukanwat/overtime · 399 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kudzg6j5gojscplo
GET https://markdownregistry.com/api/v1/resolve?ref=ukanwat/overtime/performance-optimization
GET https://markdownregistry.com/api/v1/blob/54cbf9da75bcefe72209d7103fb7b128a5d17822ed0528ff44e28f9cb45140ce

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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