CL

clerk-performance-tuning

Techniques to reduce authentication latency and improve performance in Clerk-integrated applications.

Install

mkdir -p .claude/skills/clerk-performance-tuning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3374" && unzip -o skill.zip -d .claude/skills/clerk-performance-tuning && rm skill.zip

Installs to .claude/skills/clerk-performance-tuning

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Optimize Clerk authentication performance.
42 charsno explicit “when” trigger
Advanced

Key capabilities

  • Optimize Clerk middleware to skip static assets, reducing unnecessary auth checks.
  • Cache user data using React's `cache` and `unstable_cache` to minimize API calls.
  • Optimize token handling by reusing tokens with sufficient remaining validity.
  • Lazy load Clerk authentication components to reduce initial JavaScript bundle size.
  • Configure middleware to run on the Edge Runtime for faster cold starts.

How it works

The skill provides code examples and configurations to optimize Clerk performance by skipping middleware for static assets, caching user data, reusing tokens, lazy loading components, and utilizing the Edge Runtime.

Inputs & outputs

You give it
A Clerk-integrated application experiencing slow authentication response times or high latency.
You get back
An optimized Clerk authentication setup with reduced latency and improved performance.

When to use clerk-performance-tuning

  • Optimizing middleware execution time
  • Caching user profile data to reduce network requests
  • Reducing authentication latency in Next.js
  • Configuring edge runtime for auth

About this skill

Clerk Performance Tuning

Overview

Optimize Clerk authentication for best performance. Covers middleware optimization, user data caching, token handling, lazy loading, and edge runtime configuration.

Prerequisites

  • Clerk integration working
  • Performance monitoring in place (Lighthouse, Web Vitals)
  • Understanding of Next.js rendering strategies

Instructions

Step 1: Optimize Middleware (Skip Static Assets)

// middleware.ts — avoid running auth on static files
import { clerkMiddleware, createRouteMatcher } from '@clerk/nextjs/server'

const isPublicRoute = createRouteMatcher(['/', '/sign-in(.*)', '/sign-up(.*)', '/api/webhooks(.*)'])

export default clerkMiddleware(async (auth, req) => {
  if (!isPublicRoute(req)) {
    await auth.protect()
  }
})

// Restrict matcher to avoid processing static assets
export const config = {
  matcher: [
    // Skip _next, static files, and images
    '/((?!_next/static|_next/image|favicon.ico|.*\\.(?:svg|png|jpg|jpeg|gif|webp|ico)).*)',
    '/(api|trpc)(.*)',
  ],
}

Step 2: Cache User Data

// lib/cached-user.ts
import { auth, currentUser } from '@clerk/nextjs/server'
import { cache } from 'react'

// React cache: deduplicates within a single request
export const getAuthUser = cache(async () => {
  const { userId } = await auth()
  if (!userId) return null
  return currentUser()
})

// Usage in multiple server components (only one Clerk API call per request):
// const user = await getAuthUser()

For cross-request caching with unstable_cache:

import { unstable_cache } from 'next/cache'
import { clerkClient } from '@clerk/nextjs/server'

export const getCachedUserProfile = unstable_cache(
  async (userId: string) => {
    const client = await clerkClient()
    const user = await client.users.getUser(userId)
    return {
      id: user.id,
      name: `${user.firstName} ${user.lastName}`,
      email: user.emailAddresses[0]?.emailAddress,
      imageUrl: user.imageUrl,
    }
  },
  ['user-profile'],
  { revalidate: 300 } // Cache for 5 minutes
)

Step 3: Optimize Token Handling

// lib/token-cache.ts
let tokenCache: { token: string; expiresAt: number } | null = null

export async function getOptimizedToken(getToken: () => Promise<string | null>) {
  // Reuse token if it has more than 30 seconds remaining
  if (tokenCache && tokenCache.expiresAt > Date.now() + 30_000) {
    return tokenCache.token
  }

  const token = await getToken()
  if (token) {
    const payload = JSON.parse(atob(token.split('.')[1]))
    tokenCache = { token, expiresAt: payload.exp * 1000 }
  }

  return token
}

Step 4: Lazy Load Auth Components

// components/lazy-auth.tsx
'use client'
import dynamic from 'next/dynamic'

// Only load UserButton when needed (saves ~15KB)
const UserButton = dynamic(
  () => import('@clerk/nextjs').then((mod) => mod.UserButton),
  { ssr: false, loading: () => <div className="w-8 h-8 rounded-full bg-gray-200 animate-pulse" /> }
)

const SignInButton = dynamic(
  () => import('@clerk/nextjs').then((mod) => mod.SignInButton),
  { ssr: false }
)

export { UserButton, SignInButton }

Step 5: Optimize Server Components

// app/dashboard/page.tsx — parallel data fetching
import { auth } from '@clerk/nextjs/server'
import { Suspense } from 'react'

export default async function Dashboard() {
  const { userId } = await auth()
  if (!userId) return null

  return (
    <div>
      {/* Parallel loading with Suspense boundaries */}
      <Suspense fallback={<div>Loading profile...</div>}>
        <UserProfile userId={userId} />
      </Suspense>
      <Suspense fallback={<div>Loading activity...</div>}>
        <RecentActivity userId={userId} />
      </Suspense>
    </div>
  )
}

async function UserProfile({ userId }: { userId: string }) {
  const profile = await getCachedUserProfile(userId)
  return <div>{profile.name}</div>
}

async function RecentActivity({ userId }: { userId: string }) {
  const activity = await db.activity.findMany({ where: { userId }, take: 10 })
  return <ul>{activity.map((a) => <li key={a.id}>{a.description}</li>)}</ul>
}

Step 6: Edge Runtime for Middleware

// middleware.ts — runs on Vercel Edge (cold start <50ms vs ~250ms Node)
import { clerkMiddleware } from '@clerk/nextjs/server'

export default clerkMiddleware()

// Clerk middleware is Edge-compatible by default on Vercel
export const config = {
  matcher: ['/((?!_next/static|_next/image|favicon.ico).*)'],
  runtime: 'edge', // Explicitly opt into Edge Runtime
}

Output

  • Middleware skipping static assets (fewer auth checks)
  • React cache() deduplicating user fetches within requests
  • Cross-request user profile caching (5-minute TTL)
  • Lazy-loaded auth components reducing bundle size
  • Parallel Suspense boundaries for dashboard rendering
  • Edge Runtime middleware for faster cold starts

Error Handling

IssueCauseSolution
Slow initial page loadBlocking auth callsUse Suspense boundaries for parallel loading
High Clerk API latencyNo cachingUse cache() and unstable_cache()
Large JS bundleAll Clerk components loadedUse dynamic() imports for auth UI components
Slow middleware cold startNode.js runtimeSwitch to Edge Runtime on Vercel
Stale cached user dataCache not invalidatedInvalidate on user.updated webhook

Examples

Measure Clerk Auth Overhead

// lib/perf-measure.ts
export async function measureAuthTime() {
  const start = performance.now()
  const { userId } = await auth()
  const authMs = performance.now() - start
  console.log(`[Perf] auth() took ${authMs.toFixed(1)}ms, userId: ${userId}`)
  return { userId, authMs }
}

Resources

Next Steps

Proceed to clerk-cost-tuning for cost optimization strategies.

When not to use it

  • When Clerk is not integrated into the application.
  • When performance is not a critical concern for authentication processes.

Prerequisites

Clerk integration workingPerformance monitoring in placeUnderstanding of Next.js rendering strategies

Limitations

  • Requires Clerk integration to be already working.
  • Cross-request caching with `unstable_cache` is specific to Next.js.

How it compares

This skill offers specific Clerk-focused performance optimizations, providing concrete code solutions for common bottlenecks, unlike general performance tuning guides.

Compared to similar skills

clerk-performance-tuning side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
clerk-performance-tuning (this skill)127dReviewAdvanced
clerk-cost-tuning127dReviewIntermediate
nextjs-developer3282moNo flagsAdvanced
reviewing-nextjs-16-patterns118moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

More by jeremylongshore

View all by jeremylongshore

analyzing-logs

jeremylongshore

Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.

14123

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

1167

backtesting-trading-strategies

jeremylongshore

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

1071

generating-database-seed-data

jeremylongshore

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

1033

cursor-codebase-indexing

jeremylongshore

Execute set up and optimize Cursor codebase indexing. Triggers on "cursor index setup", "codebase indexing", "index codebase", "cursor semantic search". Use when working with cursor codebase indexing functionality. Trigger with phrases like "cursor codebase indexing", "cursor indexing", "cursor".

885

testing-mobile-apps

jeremylongshore

Execute mobile app testing on iOS and Android devices/simulators. Use when performing specialized testing. Trigger with phrases like "test mobile app", "run iOS tests", or "validate Android functionality".

810

Search skills

Search the agent skills registry