nucleus-apple-mcp: Skill for Claude Code

.agents/skills/optimize/SKILL.md

optimize is a skill for Claude Code, Codex from zish-rob-crur/nucleus-apple-mcp. It costs 26 tokens per session (1,868 once invoked), scanned A, a copy of optimize, MIT.

A guide for finding and fixing interface performance problems, such as slow loading, rendering, animation, images, or large downloads.

In plain words
What is it for?
Measuring load and runtime performance, finding bottlenecks, and improving images, JavaScript, CSS, network requests, animations, and bundle size.
Why use it?
It helps identify what is actually making an interface slow before making targeted improvements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is zish-rob-crur/nucleus-apple-mcp's own configuration. It tells Claude Code and Codex how to work on nucleus-apple-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nucleus-apple-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zish-rob-crur/nucleus-apple-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zish-rob-crur/nucleus-apple-mcp/main/.agents/skills/optimize/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zish-rob-crur/nucleus-apple-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/optimize/github.svg)](https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/optimize)
Your own site
<a href="https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/optimize"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/optimize/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for optimize

Your own site · 80×15
<a href="https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/optimize"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.01868
Opus 5 $0.00013 $0.00934
Sonnet 5 $0.00005 $0.00374
Haiku 4.5 $0.00003 $0.00187

Measured 10d ago against content hash 0e7df93123d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

optimize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

84% identical to optimize — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/optimize/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identify and fix performance issues to create faster, smoother user experiences.

Assess Performance Issues

Understand current performance and identify problems:

  1. Measure current state:

    • Core Web Vitals: LCP, FID/INP, CLS scores
    • Load time: Time to interactive, first contentful paint
    • Bundle size: JavaScript, CSS, image sizes
    • Runtime performance: Frame rate, memory usage, CPU usage
    • Network: Request count, payload sizes, waterfall
  2. Identify bottlenecks:

    • What's slow? (Initial load? Interactions? Animations?)
    • What's causing it? (Large images? Expensive JavaScript? Layout thrashing?)
    • How bad is it? (Perceivable? Annoying? Blocking?)
    • Who's affected? (All users? Mobile only? Slow connections?)

CRITICAL: Measure before and after. Premature optimization wastes time. Optimize what actually matters.

Optimization Strategy

Create systematic improvement plan:

Loading Performance

Optimize Images:

  • Use modern formats (WebP, AVIF)
  • Proper sizing (don't load 3000px image for 300px display)
  • Lazy loading for below-fold images
  • Responsive images (srcset, picture element)
  • Compress images (80-85% quality is usually imperceptible)
  • Use CDN for faster delivery
<img 
  src="hero.webp"
  srcset="hero-400.webp 400w, hero-800.webp 800w, hero-1200.webp 1200w"
  sizes="(max-width: 400px) 400px, (max-width: 800px) 800px, 1200px"
  loading="lazy"
  alt="Hero image"
/>

Reduce JavaScript Bundle:

  • Code splitting (route-based, component-based)
  • Tree shaking (remove unused code)
  • Remove unused dependencies
  • Lazy load non-critical code
  • Use dynamic imports for large components
// Lazy load heavy component
const HeavyChart = lazy(() => import('./HeavyChart'));

Optimize CSS:

  • Remove unused CSS
  • Critical CSS inline, rest async
  • Minimize CSS files
  • Use CSS containment for independent regions

Optimize Fonts:

  • Use font-display: swap or optional
  • Subset fonts (only characters you need)
  • Preload critical fonts
  • Use system fonts when appropriate
  • Limit font weights loaded

Read the full file on GitHub · 268 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 268 lines · 26 tokens per session scan A 0e7df93123d4

Subscribe to this mod's changes

optimize is a skill published in the GitHub repository zish-rob-crur/nucleus-apple-mcp (20 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 1,868 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to optimize, differing in 11 lines, and is treated as a copy.

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