performance-optimization SKILL.md skillA

performance-optimization from khaledsaeed18/dotclaude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add khaledsaeed18/dotclaude/performance-optimization@git:20260921.4ccfb75

Pins git:20260921.4ccfb75 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
khaledsaeed18/dotclaude
Path
.claude-plugin/plugins/engineering/skills/performance-optimization/SKILL.md
Versions recorded
2
Latest version
git:20260921.4ccfb75, committed Sep 21, 2026
First version recorded
Jul 4, 2026
Size
5,223 bytes
Repository stars
5
License
MIT

Fix a performance problem by profiling first, making one targeted change, and verifying both the speedup and that correctness held. Use when a feature is measurably slow, a page or API exceeds its budget, or a query takes too long. Do not use to pre-optimize code that has not been measured.

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

Profile first. Every performance intuition is wrong until the profiler confirms it. The code that looks slow is rarely the bottleneck; the bottleneck is almost always somewhere the code looks unremarkable. An optimization without a measurement is a guess. A guess that happens to speed things up does not mean you found the right thing.

## The one rule

**No change before you have a baseline measurement and a profiled bottleneck.** If you cannot name the specific file, function, and line where the most time or memory is spent - with numbers - you are still in the investigation phase.

## Step 1: Establish the baseline

Define what "slow" means in terms the problem must satisfy:

- What is the current measured value? (response time, frame rate, memory usage, query duration, build time)
- What is the target? (a budget from a spec, a regression from a previous version, a user-reported threshold)
- Can the scenario be reproduced reliably? If not, instrument first and gather data before optimizing.

Run the scenario and record the baseline:

```bash
# For Node.js / server-side
node --prof app.js           # then: node --prof-process isolate-*.log
# or: clinic flame -- node app.js
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add khaledsaeed18/dotclaude/performance-optimization@sha256:b2677188c40a9cd2

The line at the top of this page pins the label git:20260921.4ccfb75, 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 badge

[![mdr](https://markdownregistry.com/badge/art_hnjvcjojipmwa772.svg)](https://markdownregistry.com/a/art_hnjvcjojipmwa772)

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

Versions

The registry has recorded 2 versions of this file, between Jul 4, 2026 and Sep 21, 2026, about one every 80 days.

versioncommittedcommitsizeaudit
git:20260921.4ccfb75 latest2026-09-21 4ccfb75 5,223 BA view · diff
git:20260704.5149f4c2026-07-04 5149f4c 5,346 BA 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 (5223 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

khaledsaeed18/dotclaude · 5 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hnjvcjojipmwa772
GET https://markdownregistry.com/api/v1/resolve?ref=khaledsaeed18/dotclaude/performance-optimization
GET https://markdownregistry.com/api/v1/blob/b2677188c40a9cd215b71cdeec0af1929f08c7922efe9587774bc4828427d637

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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