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Capacitor Performance

  • 640 installs
  • 57 repo stars
  • Updated July 13, 2026
  • cap-go/capgo-skills

capacitor-performance is a mobile optimization skill that diagnoses and eliminates bottlenecks in Capacitor hybrid apps covering bundle size, rendering, memory, native bridge calls, and profiling.

About

capacitor-performance is a systematic optimization guide for Capacitor hybrid mobile applications. It addresses slow startups, janky animations, memory leaks, and heavy native-bridge traffic with concrete patterns such as lazy-loading @capacitor plugins instead of importing Camera, Filesystem, and Geolocation at startup. Developers reach for this skill when users report a slow app, memory issues, or stuttering UI and they need profiling-backed fixes rather than guesswork. Coverage spans bundle size reduction, rendering performance, memory management, native bridge efficiency, and device profiling workflows.

  • Covers bundle size, rendering, memory, native bridge, and profiling optimizations
  • 5 common triggers: slow app, optimization needs, memory issues, profiling, janky animations
  • Includes quick wins with before-and-after code examples for lazy loading plugins
  • Shows how to reduce bundle size using tree-shaking and bundle visualizers
  • Provides concrete image optimization and native bridge call minimization patterns

Capacitor Performance by the numbers

  • 640 all-time installs (skills.sh)
  • Ranked #545 of 2,245 Frontend Development skills by installs in the Skillselion catalog
  • Data as of Aug 1, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cap-go/capgo-skills --skill capacitor-performance

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Listed on Skillselion
Installs640
repo stars57
Last updatedJuly 13, 2026
Repositorycap-go/capgo-skills

How do you fix slow Capacitor mobile apps?

Systematically diagnose and eliminate performance bottlenecks in Capacitor mobile applications.

Who is it for?

Developers shipping Ionic or Capacitor hybrid apps who see startup lag, animation jank, or memory warnings in production.

Skip if: Pure native Swift or Kotlin apps with no Capacitor WebView layer or teams still in feature prototyping with no performance complaints.

When should I use this skill?

The user reports a slow Capacitor app, memory issues, janky animations, or asks to optimize hybrid mobile performance.

What you get

Optimized plugin imports, smaller bundles, smoother rendering, lower memory use, and profiling notes

  • optimized imports
  • profiling recommendations

By the numbers

  • Covers five optimization areas: bundle size, rendering, memory, native bridge, and profiling

Files

SKILL.mdMarkdownGitHub ↗

Performance Optimization for Capacitor

Make your Capacitor apps fast and responsive.

When to Use This Skill

  • User has slow app
  • User wants to optimize
  • User has memory issues
  • User needs profiling
  • User has janky animations

Quick Wins

1. Lazy Load Plugins

// BAD - All plugins loaded at startup
import { Camera } from '@capacitor/camera';
import { Filesystem } from '@capacitor/filesystem';
import { Geolocation } from '@capacitor/geolocation';

// GOOD - Load when needed
async function takePhoto() {
  const { Camera } = await import('@capacitor/camera');
  return Camera.getPhoto({ quality: 90 });
}

2. Reduce Bundle Size

# Analyze bundle
npx vite-bundle-visualizer

# Tree-shake imports
import { specific } from 'large-library';  // Good
import * as everything from 'large-library'; // Bad

3. Optimize Images

// Use appropriate quality
const photo = await Camera.getPhoto({
  quality: 80,        // Not 100
  width: 1024,        // Limit size
  resultType: CameraResultType.Uri,  // Not Base64
});

// Lazy load images
<img loading="lazy" src={url} />

4. Minimize Bridge Calls

// BAD - Multiple bridge calls
for (const item of items) {
  await Storage.set({ key: item.id, value: item.data });
}

// GOOD - Single call with batch
await Storage.set({
  key: 'items',
  value: JSON.stringify(items),
});

Rendering Performance

Use CSS Transforms

/* GPU accelerated */
.animated {
  transform: translateX(100px);
  will-change: transform;
}

/* Avoid - triggers layout */
.animated {
  left: 100px;
}

Virtual Scrolling

// Use virtual list for long lists
import { VirtualScroller } from 'your-framework';

<VirtualScroller
  items={items}
  itemHeight={60}
  renderItem={(item) => <ListItem item={item} />}
/>

Debounce Events

import { debounce } from 'lodash-es';

const handleScroll = debounce((e) => {
  // Handle scroll
}, 16); // ~60fps

Memory Management

Cleanup Listeners

import { App } from '@capacitor/app';

// Store listener handle
const handle = await App.addListener('appStateChange', callback);

// Cleanup on unmount
onUnmount(() => {
  handle.remove();
});

Avoid Memory Leaks

// Clear large data when done
let largeData = await fetchLargeData();
processData(largeData);
largeData = null; // Allow GC

Profiling

Chrome DevTools

1. Connect via chrome://inspect 2. Performance tab > Record 3. Analyze flame chart

Xcode Instruments

1. Product > Profile 2. Choose Time Profiler 3. Analyze hot paths

Android Profiler

1. View > Tool Windows > Profiler 2. Select CPU/Memory/Network 3. Record and analyze

Metrics to Track

MetricTarget
First Paint< 1s
Time to Interactive< 3s
Frame Rate60fps
MemoryStable, no growth
Bundle Size< 500KB gzipped

Resources

  • Chrome DevTools: https://developer.chrome.com/docs/devtools
  • Xcode Instruments: https://developer.apple.com/instruments

Related skills

How it compares

Use capacitor-performance for Capacitor-specific hybrid bottlenecks; reach for general React performance skills when the issue is purely web-layer logic without native bridge overhead.

FAQ

What Capacitor performance areas does this skill cover?

capacitor-performance covers bundle size, rendering, memory, native bridge efficiency, and profiling for Capacitor hybrid apps. It includes patterns like lazy-loading plugins instead of importing all @capacitor packages at startup.

When should developers use capacitor-performance?

Developers should use capacitor-performance when a Capacitor app feels slow, shows memory issues, has janky animations, or needs profiling-backed optimization rather than ad-hoc tweaks.

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