performance

performance is a cursor rule for Cursor from girijashankarj/cursor-handbook. It costs 0 tokens per session (462 once invoked), scanned A, original, MIT.

A collection of rules for making frontend websites load quickly and respond smoothly. It covers page-loading measurements, code size, images, lists, and browser interactions.

In plain words
What is it for?
It helps optimize React loading, image delivery, JavaScript bundles, long lists, search fields, scrolling, and animations.
Why use it?
It helps prevent slow pages, large downloads, layout jumps, and sluggish controls. The rules give developers concrete targets and implementation patterns.

Cursor rule for Cursor

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 rules/girijashankarj/cursor-handbook/performance
Clone the repo
git clone --depth 1 https://github.com/girijashankarj/cursor-handbook

Made for: Cursor.

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

README.md
[![agentmods](https://agentmods.dev/badge/rules/girijashankarj/cursor-handbook/performance.svg)](https://agentmods.dev/rules/girijashankarj/cursor-handbook/performance)
Your own site
<a href="https://agentmods.dev/rules/girijashankarj/cursor-handbook/performance"><img src="https://agentmods.dev/badge/rules/girijashankarj/cursor-handbook/performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 462 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 $0.00000 $0.00462
Opus 5 $0.00000 $0.00231
Sonnet 5 $0.00000 $0.00092
Haiku 4.5 $0.00000 $0.00046

Measured yesterday against content hash 4bd8df37402e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

performance 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 yesterday.

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.

.cursor/rules/frontend/performance.mdc · 52 lines

What it actually says

Frontend Performance Rules

Core Web Vitals Targets

Metric Target Description
LCP <2.5s Largest Contentful Paint
FID/INP <100ms First Input Delay / Interaction to Next Paint
CLS <0.1 Cumulative Layout Shift
TTFB <800ms Time to First Byte

Loading Performance

  • Code split routes with React.lazy() or dynamic import()
  • Preload critical resources: fonts, above-the-fold images
  • Use loading="lazy" for below-the-fold images
  • Implement skeleton screens instead of spinners
  • Set explicit dimensions on images and embeds to prevent CLS
  • Use responsive images with srcset and sizes

Bundle Optimization

  • Maximum initial bundle size: 200KB (gzipped)
  • Analyze bundle with webpack-bundle-analyzer or equivalent
  • Tree-shake unused exports
  • Externalize large libraries to CDN when appropriate
  • Use dynamic imports for heavy components (charts, editors, maps)

Runtime Performance

  • Virtualize long lists (>100 items) — use react-window or react-virtuoso
  • Debounce search inputs (300ms), throttle scroll/resize handlers (16ms)
  • Use requestAnimationFrame for smooth animations
  • Avoid layout thrashing — batch DOM reads and writes
  • Use Web Workers for CPU-intensive operations

Caching Strategy

  • Service Worker for offline support and asset caching
  • Cache API responses with appropriate TTL
  • Use stale-while-revalidate pattern for non-critical data
  • Implement HTTP caching headers: Cache-Control, ETag, Last-Modified
  • Use CDN for static assets

Monitoring

  • Track Core Web Vitals in production (via web-vitals library)
  • Set up performance budgets in CI
  • Alert on performance regressions
  • Monitor third-party script impact
  • Review Lighthouse scores monthly
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. yesterday First seen · 52 lines · 0 tokens per session scan A 4bd8df37402e

Subscribe to this mod's changes

performance is a cursor rule published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 462 tokens. 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 2026-09-03.