performance-optimization

performance-optimization is a skill for Claude Code, Codex from Piyush8296/claude-workspace. It costs 40 tokens per session (1,651 once invoked), scanned A, original, MIT.

A guide to making frontend applications load and respond faster. It covers Core Web Vitals, smaller JavaScript bundles, React rendering, lazy loading, and memoization.

In plain words
What is it for?
Use it to audit performance, split code by route or component, reduce imports, improve loading behavior, and limit avoidable React work.
Why use it?
It helps find delays caused by large downloads, unnecessary rendering, or loading too much code before the user needs it.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/piyush8296/claude-workspace/performance-optimization
Any agent
npx skills add Piyush8296/claude-workspace --skill performance-optimization
Clone the repo
git clone --depth 1 https://github.com/Piyush8296/claude-workspace

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 performance-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/piyush8296/claude-workspace/performance-optimization.svg)](https://agentmods.dev/skills/piyush8296/claude-workspace/performance-optimization)
Your own site
<a href="https://agentmods.dev/skills/piyush8296/claude-workspace/performance-optimization"><img src="https://agentmods.dev/badge/skills/piyush8296/claude-workspace/performance-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,651 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00040 $0.01651
Opus 5 $0.00020 $0.00826
Sonnet 5 $0.00008 $0.00330
Haiku 4.5 $0.00004 $0.00165

Measured 5d ago against content hash ad57326857f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance-optimization 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 5d 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.

.claude/skills/performance-optimization/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Optimization

Core Web Vitals Targets

Metric Good Needs Work Poor
LCP (Largest Contentful Paint) ≤ 2.5s ≤ 4.0s > 4.0s
INP (Interaction to Next Paint) ≤ 200ms ≤ 500ms > 500ms
CLS (Cumulative Layout Shift) ≤ 0.1 ≤ 0.25 > 0.25

Bundle Optimization

Code Splitting

import { lazy, Suspense } from 'react';

// Route-level splitting (mandatory)
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Settings = lazy(() => import('./pages/Settings'));

// Component-level splitting (for heavy components)
const MarkdownEditor = lazy(() => import('./components/MarkdownEditor'));
const ChartWidget = lazy(() => import('./components/ChartWidget'));

// Always wrap with Suspense + meaningful fallback
<Suspense fallback={<DashboardSkeleton />}>
  <Dashboard />
</Suspense>

Tree-Shaking

// BAD: imports entire library
import _ from 'lodash';
_.debounce(fn, 300);

// GOOD: imports only what's needed
import debounce from 'lodash/debounce';
debounce(fn, 300);

// BEST: use native or lightweight alternative
function debounce<T extends (...args: unknown[]) => void>(fn: T, ms: number) {
  let timer: ReturnType<typeof setTimeout>;
  return (...args: Parameters<T>) => {
    clearTimeout(timer);
    timer = setTimeout(() => fn(...args), ms);
  };
}

Import Analysis

# Analyze bundle composition
npx vite-bundle-visualizer    # Vite
npx @next/bundle-analyzer     # Next.js

# Find heavy dependencies
du -sh node_modules/* | sort -rh | head -20

React Rendering Optimization

When to Memoize

// MEMOIZE: Expensive computation
const sortedItems = useMemo(
  () => items.sort((a, b) => b.date - a.date),
  [items]
);

// MEMOIZE: Referential stability for child components
const handleSubmit = useCallback(
  (data: FormData) => {
    submitMutation.mutate(data);
  },
  [submitMutation.mutate]
);

// DON'T MEMOIZE: Simple computation
// const fullName = useMemo(() => `${first} ${last}`, [first, last]);
const fullName = `${first} ${last}`; // Just compute it

// DON'T MEMOIZE: Primitive props
// const title = useMemo(() => 'Hello', []);
const title = 'Hello'; // Primitives are already stable

Read the full file on GitHub · 254 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. 5d ago First seen · 254 lines · 40 tokens per session scan A ad57326857f0

Subscribe to this mod's changes

performance-optimization is a skill published in the GitHub repository Piyush8296/claude-workspace (2 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 1,651 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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