Home / travisjneuman / .claude · GitHub

performance-engineering SKILL.md skillA

performance-engineering from travisjneuman/.claude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add travisjneuman/.claude/performance-engineering@git:20260930.c8d311d

Pins git:20260930.c8d311d in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: travisjneuman/.claude
Path: skills/performance-engineering/SKILL.md
Versions recorded: 3
Latest version: git:20260930.c8d311d, committed Sep 30, 2026
First version recorded: Feb 7, 2026
Size: 16,634 bytes
Repository stars: 105
License: MIT

Web Vitals, bundle optimization, CDN, caching, and load analysis. Use when diagnosing slow pages or APIs, reducing bundle size, or designing caching and performance budgets.

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 Engineering

## Overview

This skill covers measuring, optimizing, and maintaining web application performance across the full stack. It addresses Core Web Vitals (LCP, INP, CLS), bundle analysis and code splitting, image optimization, browser and server-side caching, CDN configuration, database query performance, and load testing with k6 and Artillery.

Use this skill when Core Web Vitals scores are below targets, bundle sizes are growing, page load times are degrading, or when preparing for traffic spikes. Performance work should be measurement-driven: profile first, optimize second, measure the impact third.

---

## Core Principles

1. **Measure before optimizing** - Profile with real data (RUM, Lighthouse, DevTools) before writing any optimization code. Intuition about performance bottlenecks is usually wrong.
2. **Budget everything** - Set performance budgets for bundle size (< 200kb JS), LCP (< 2.5s), INP (< 200ms), CLS (< 0.1). Check changes against them in review.
3. **Optimize the critical path** - Focus on what blocks the user from seeing and interacting with content. Everything else can load later.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add travisjneuman/.claude/performance-engineering@sha256:de2162feb5ce4675

The line at the top of this page pins the label git:20260930.c8d311d, 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_z6ptty4oubysxwxx.svg)](https://markdownregistry.com/a/art_z6ptty4oubysxwxx)

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

Versions

The registry has recorded 3 versions of this file, between Feb 7, 2026 and Sep 30, 2026, about one every 117 days.

version	committed	commit	size	audit
git:20260930.c8d311d latest	2026-09-30	c8d311d	16,634 B	A	view · diff
git:20260228.62823bf	2026-02-28	62823bf	16,365 B	A	view · diff
git:20260207.49cc324	2026-02-07	49cc324	16,347 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 (16634 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

travisjneuman/.claude · 105 stars · license MIT · pushed 2026-10-19 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_z6ptty4oubysxwxx
GET https://markdownregistry.com/api/v1/resolve?ref=travisjneuman/.claude/performance-engineering
GET https://markdownregistry.com/api/v1/blob/de2162feb5ce46759bf0fe0be75667e35142550255f3a1d62a2a41a2eed1981a

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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