performance_skill

This skill helps you boost Next.js and React performance by applying ARC-aligned layout, SVG, and typography optimizations.

Python

65

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

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npx veilstrat add skill ashishop/arc-protocol --skill performance

SKILL.md690 B

Overview

This skill optimizes Next.js and React applications for performance using ARC (Analyze, Run, Confirm) execution patterns. I apply targeted improvements that reduce bundle size, speed rendering, and lower runtime CPU/GPU costs. The result is a faster, more predictable user experience across devices.

How this skill works

I analyze the app build and runtime behavior to identify hot paths and heavy assets. Then I run concrete optimizations—code-splitting, server-side rendering tuning, image and SVG processing, and layout strategies—while preserving functional correctness. Finally I confirm improvements with measurable metrics and regression checks to ensure no user-facing regressions.

When to use it

Before major releases to validate performance gains
When page load or Time to Interactive is above target
If Lighthouse, Web Vitals, or user reports show jank or large CLS/TTI
When migrating pages to Next.js or upgrading React/Next versions
When optimizing mobile and low-end device experience

Best practices

Prioritize metrics: measure FCP, LCP, TTI, CLS and optimize the highest-impact areas first
Use code-splitting and dynamic imports for page-level and route-level bundles
Optimize images and vector assets: compress, serve next-gen formats, and reduce SVG precision
Defer non-critical work and use content-visibility:auto for long off-screen lists
Prefer animating transform and opacity; animate wrappers instead of large DOM/SVG nodes to reduce GPU overhead
Integrate automated performance checks into CI to prevent regressions

Example use cases

Trim initial JavaScript by extracting heavy client-only libraries into dynamic imports
Improve LCP by optimizing image delivery and switching to next/image or similar loaders
Reduce layout thrash by adopting content-visibility:auto and strategic virtualization for long lists
Lower GPU usage by moving SVG animations to wrapper transforms and reducing coordinate precision
Set up CI jobs that run Lighthouse or Web Vitals collectors and block regressions

FAQ

I run unit and integration tests plus visual regression checks and compare performance baselines before and after changes.

Will these optimizations add maintenance overhead?

Changes are minimal and focused; I prefer standard patterns (dynamic imports, content-visibility, image optimization) that reduce long-term maintenance by simplifying runtime costs.

Can this be applied incrementally?

Yes. I recommend a prioritized roadmap: identify hot pages, apply targeted fixes, measure impact, and iterate.