Understand and manage Clerk rate limits and quotas. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedBackend & APIs

Install Clerk Rate Limits

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill clerk-rate-limits -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace clerk-rate-limits --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/clerk-rate-limits .claude/skills/clerk-rate-limits && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clerk-rate-limits
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
219 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Understand and manage Clerk rate limits and quotas. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 5 steps: Understand Rate Limits → Implement Rate Limit Handling with Retry → Batch Operations → …
  • Hitting rate limits
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls curl; reaches api.clerk.com; needs CLERK_SECRET_KEY

What it does

Clerk Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Understand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios. Trigger with phrases like "clerk rate limit", "clerk quota", "clerk API limits", "clerk throttling".

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Rate limiting. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Hitting rate limits
  • Optimizing API usage
  • Planning for high-traffic scenarios
  • With phrases like clerk rate limit

Example prompts

  • “clerk rate limit”
  • “clerk quota”
  • “clerk API limits”
  • “/clerk-rate-limits”

Requirements

  • A credential in CLERK_SECRET_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Understand Rate Limits
  2. Implement Rate Limit Handling with Retry
  3. Batch Operations
  4. Caching Strategy
  5. Monitor Rate Limit Usage

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.clerk.com

    Also links to:

    • clerk.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • CLERK_SECRET_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Clerk Rate Limits loads about 1.6k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 219 words, ~1,615 tokens.

Download SKILL.mdSave it as .claude/skills/clerk-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
clerk-rate-limits
description
Understand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios. Trigger with phrases like "clerk rate limit", "clerk quota", "clerk API limits", "clerk throttling".
allowed-tools
Read, Write, Edit, Grep
compatibility
Designed for Claude Code
version
1.15.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, clerk, api

Clerk Rate Limits

Overview

Understand Clerk's rate limiting system and implement strategies to avoid hitting limits. Covers Backend API rate limits, retry logic, batching, caching, and monitoring.

Prerequisites

  • Clerk account with API access
  • Understanding of your application's traffic patterns
  • Monitoring/logging infrastructure

Instructions

Step 1: Understand Rate Limits

Clerk Backend API enforces rate limits per API key:

PlanRate LimitBurst
Free20 req/10s40
Pro100 req/10s200
EnterpriseCustomCustom

Rate limit headers returned on every response:

  • X-RateLimit-Limit — max requests per window
  • X-RateLimit-Remaining — remaining requests
  • X-RateLimit-Reset — seconds until window resets
Step 2: Implement Rate Limit Handling with Retry
typescript
// lib/clerk-api.ts
import { createClerkClient } from '@clerk/backend'

const clerk = createClerkClient({ secretKey: process.env.CLERK_SECRET_KEY! })

async function withRetry<T>(fn: () => Promise<T>, maxRetries = 3): Promise<T> {
  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      return await fn()
    } catch (err: any) {
      if (err.status === 429 && attempt < maxRetries) {
        // Parse retry-after header or use exponential backoff
        const retryAfter = err.headers?.['retry-after']
        const waitMs = retryAfter ? parseInt(retryAfter) * 1000 : Math.pow(2, attempt) * 1000
        console.warn(`Rate limited. Retrying in ${waitMs}ms (attempt ${attempt + 1}/${maxRetries})`)
        await new Promise((resolve) => setTimeout(resolve, waitMs))
        continue
      }
      throw err
    }
  }
  throw new Error('Max retries exceeded')
}

// Usage
export async function getUser(userId: string) {
  return withRetry(() => clerk.users.getUser(userId))
}
Step 3: Batch Operations
typescript
// lib/clerk-batch.ts
import { createClerkClient } from '@clerk/backend'

const clerk = createClerkClient({ secretKey: process.env.CLERK_SECRET_KEY! })

async function batchGetUsers(userIds: string[], batchSize = 10) {
  const results = []

  for (let i = 0; i < userIds.length; i += batchSize) {
    const batch = userIds.slice(i, i + batchSize)
    const users = await Promise.all(batch.map((id) => clerk.users.getUser(id)))
    results.push(...users)

    // Respect rate limits between batches
    if (i + batchSize < userIds.length) {
      await new Promise((resolve) => setTimeout(resolve, 500))
    }
  }

  return results
}

// For listing: use pagination instead of fetching all
async function getAllUsers() {
  const allUsers = []
  let offset = 0
  const limit = 100

  while (true) {
    const batch = await clerk.users.getUserList({ limit, offset })
    allUsers.push(...batch.data)
    if (batch.data.length < limit) break
    offset += limit
    await new Promise((resolve) => setTimeout(resolve, 200)) // Rate limit pause
  }

  return allUsers
}
Step 4: Caching Strategy
typescript
// lib/clerk-cache.ts
const userCache = new Map<string, { user: any; cachedAt: number }>()
const CACHE_TTL = 60_000 // 1 minute

export async function getCachedUser(userId: string) {
  const cached = userCache.get(userId)
  if (cached && Date.now() - cached.cachedAt < CACHE_TTL) {
    return cached.user
  }

  const { createClerkClient } = await import('@clerk/backend')
  const clerk = createClerkClient({ secretKey: process.env.CLERK_SECRET_KEY! })
  const user = await clerk.users.getUser(userId)
  userCache.set(userId, { user, cachedAt: Date.now() })
  return user
}

// Invalidate cache on webhook events
export function invalidateUserCache(userId: string) {
  userCache.delete(userId)
}

For production, use Redis instead of in-memory cache:

typescript
import { Redis } from '@upstash/redis'

const redis = Redis.fromEnv()

export async function getCachedUserRedis(userId: string) {
  const cached = await redis.get(`clerk:user:${userId}`)
  if (cached) return cached

  const clerk = createClerkClient({ secretKey: process.env.CLERK_SECRET_KEY! })
  const user = await clerk.users.getUser(userId)
  await redis.set(`clerk:user:${userId}`, JSON.stringify(user), { ex: 60 })
  return user
}
Step 5: Monitor Rate Limit Usage
typescript
// lib/clerk-monitor.ts
let rateLimitHits = 0

export function trackRateLimit(response: Response) {
  const remaining = parseInt(response.headers.get('X-RateLimit-Remaining') || '999')
  const limit = parseInt(response.headers.get('X-RateLimit-Limit') || '0')

  if (remaining < limit * 0.1) {
    console.warn(`[Clerk] Rate limit warning: ${remaining}/${limit} remaining`)
  }

  if (remaining === 0) {
    rateLimitHits++
    console.error(`[Clerk] Rate limit hit! Total hits this session: ${rateLimitHits}`)
  }
}

Output

  • Retry logic with exponential backoff for 429 responses
  • Batch operations respecting rate limits
  • Multi-level caching (in-memory + Redis)
  • Rate limit monitoring with warnings

Error Handling

ErrorCauseSolution
429 Too Many RequestsRate limit exceededImplement retry with backoff, add caching
quota_exceededMonthly MRU quota hitUpgrade plan or reduce retained users
Concurrent limit hitToo many parallel requestsQueue requests, reduce batchSize
Stale cache dataCache not invalidatedInvalidate on user.updated webhook

Examples

Quick Rate Limit Check
bash
# Check current rate limit status
curl -s -D - -H "Authorization: Bearer $CLERK_SECRET_KEY" \
  https://api.clerk.com/v1/users?limit=1 2>&1 | grep -i x-ratelimit

Resources

Next Steps

Proceed to clerk-security-basics for security best practices.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/clerk-rate-limits of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Repo2skillzhangyanxs/repo2skill246—~3.6kAutomated safety check: PassNone
Better Auth Security Best PracticesEpicenterHQ/epicenter4.8k—~896Automated safety check: PassCustom licence
Dload Fetch Toolphp-internal/dload105—~1.1kAutomated safety check: PassBSD-3-Clause

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Categories

Questions about Clerk Rate Limits

What does Clerk Rate Limits do?

Understand and manage Clerk rate limits and quotas. An agent skill from jeremylongshore/tons-of-skills-marketplace. Clerk Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Understand and manage Clerk rate limits and quotas.

When should I use Clerk Rate Limits?

Clerk Rate Limits fits situations like: hitting rate limits; optimizing API usage; planning for high-traffic scenarios; with phrases like clerk rate limit.

How do I install Clerk Rate Limits in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clerk-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/clerk-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/clerk-rate-limits in your project. Claude Code loads it when a task matches its description.

How do I install Clerk Rate Limits in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clerk-rate-limits -a codex`. Or copy the skill folder (skills/.curated/clerk-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/clerk-rate-limits in your project. Codex loads it when a task matches its description.

Can I use Clerk Rate Limits in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clerk-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clerk-rate-limits, .gemini/skills/clerk-rate-limits, .github/skills/clerk-rate-limits and .opencode/skills/clerk-rate-limits in your project.

What does Clerk Rate Limits need to run?

Going by SKILL.md and its folder, Clerk Rate Limits needs the command-line tools its instructions call (curl) and credentials named CLERK_SECRET_KEY. Our summary lists: A credential in CLERK_SECRET_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Clerk Rate Limits access the network?

SKILL.md names 2 domains. In commands or code: api.clerk.com; the agent is likely to contact it when it follows the instructions. As links in the text: clerk.com. This is read from the text; nothing was executed.

Is Clerk Rate Limits safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clerk Rate Limits use?

Clerk Rate Limits is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clerk Rate Limits use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Clerk Rate Limits?

Skills that share tags, products or a category with Clerk Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Repo2skill (zhangyanxs/repo2skill, 246 stars) and Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clerk Rate Limits?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.