Agent skill

Customerio Rate Limits

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Implement Customer.io rate limiting and backoff. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedBackend & APIs

Install Customerio Rate Limits

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-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/customerio-rate-limits .claude/skills/customerio-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
customerio-rate-limits
GitHub stars
2.8k
Token cost
~2.2k tokens
SKILL.md length
318 words
Files
3 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Implement Customer.io rate limiting and backoff. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 5 steps: Token Bucket Rate Limiter → Exponential Backoff with Jitter → Rate-Limited Client → …
  • Handling high-volume API calls
  • SKILL.md covers Prerequisites, Output, Examples and Overview, plus 5 more sections
  • Calls npm; needs CUSTOMERIO_TRACK_API_KEY

What it does

Customerio Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or hitting 429 errors. Trigger: "customer.io rate limit", "customer.io throttle", "customer.io 429", "customer.io backoff", "customer.io too many requests".

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/implementation-guide.md` and `references/implementation.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

  • Handling high-volume API calls
  • Implementing retry logic
  • Hitting 429 errors

Example prompts

  • “customer.io rate limit”
  • “customer.io throttle”
  • “customer.io 429”
  • “/customerio-rate-limits”

Requirements

  • Node.js
  • A credential in CUSTOMERIO_TRACK_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Bash(npx:*), Glob, Grep

Workflow steps

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

  1. Token Bucket Rate Limiter
  2. Exponential Backoff with Jitter
  3. Rate-Limited Client
  4. Queue-Based Processing with p-queue
  5. Bulk Import Strategy

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
    • Bash(npm:*)
    • Bash(npx:*)
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.customer.io
    • npmjs.com

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

  • Credentials

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

    • CUSTOMERIO_TRACK_API_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

Customerio Rate Limits loads about 2.2k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 318 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

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). 318 words, ~2,192 tokens.

Download SKILL.mdSave it as .claude/skills/customerio-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
customerio-rate-limits
description
Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or hitting 429 errors. Trigger: "customer.io rate limit", "customer.io throttle", "customer.io 429", "customer.io backoff", "customer.io too many requests".
allowed-tools
Read, Write, Edit, Bash(npm:*), Bash(npx:*), Glob, Grep
compatibility
Designed for Claude Code
version
1.14.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, customer-io, api, rate-limiting

Customer.io Rate Limits

Prerequisites

  • Current provider limit documentation/plan, a measured baseline, idempotency design, and a named capacity owner.
  • Synthetic test payloads and alerting for 429s, queue age, delivery failure, and duplicate-event risk.

Output

  • A rate-aware client/workflow configuration with bounded concurrency, backoff, idempotency, monitoring, and a safe replay decision path.
  • An aggregate load-test or incident receipt showing limit behavior without recipient payloads.

Examples

Send synthetic events at gradually increasing concurrency below the approved limit, record 429s and queue age, and apply exponential backoff with jitter using a stable idempotency key. If throttling occurs, reduce concurrency and allow recovery; do not retry every failed event immediately or widen sends to compensate.

Overview

Understand Customer.io's API rate limits and implement proper throttling: token bucket limiters, exponential backoff with jitter, queue-based processing, and 429 response handling.

Rate Limit Reference

APIEndpointLimitScope
Track APIidentify, track, trackAnonymous~100 req/secPer workspace
Track APIBatch operations~100 req/secPer workspace
App APITransactional email/push~100 req/secPer workspace
App APIBroadcasts, queries~10 req/secPer workspace

These are approximate. Customer.io uses sliding window rate limiting. When exceeded, you get a 429 Too Many Requests response.

Instructions

Step 1: Token Bucket Rate Limiter
typescript
// lib/rate-limiter.ts
export class TokenBucket {
  private tokens: number;
  private lastRefill: number;

  constructor(
    private readonly maxTokens: number = 80,  // Stay under 100/sec limit
    private readonly refillRate: number = 80   // Tokens per second
  ) {
    this.tokens = maxTokens;
    this.lastRefill = Date.now();
  }

  private refill(): void {
    const now = Date.now();
    const elapsed = (now - this.lastRefill) / 1000;
    this.tokens = Math.min(this.maxTokens, this.tokens + elapsed * this.refillRate);
    this.lastRefill = now;
  }

  async acquire(): Promise<void> {
    this.refill();
    if (this.tokens >= 1) {
      this.tokens -= 1;
      return;
    }
    // Wait until a token is available
    const waitMs = ((1 - this.tokens) / this.refillRate) * 1000;
    await new Promise((r) => setTimeout(r, Math.ceil(waitMs)));
    this.tokens = 0;
    this.lastRefill = Date.now();
  }
}
Step 2: Exponential Backoff with Jitter
typescript
// lib/backoff.ts
interface BackoffOptions {
  maxRetries: number;
  baseDelayMs: number;
  maxDelayMs: number;
  jitter: number;         // 0 to 1
}

const DEFAULTS: BackoffOptions = {
  maxRetries: 4,
  baseDelayMs: 1000,
  maxDelayMs: 60000,
  jitter: 0.25,
};

export async function withBackoff<T>(
  fn: () => Promise<T>,
  opts: Partial<BackoffOptions> = {}
): Promise<T> {
  const { maxRetries, baseDelayMs, maxDelayMs, jitter } = { ...DEFAULTS, ...opts };
  let lastErr: Error | undefined;

  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err: any) {
      lastErr = err;
      const status = err.statusCode ?? err.status;

      // Don't retry 4xx errors (except 429)
      if (status >= 400 && status < 500 && status !== 429) throw err;

      if (attempt === maxRetries) break;

      // Check Retry-After header (429 responses)
      const retryAfter = err.headers?.["retry-after"];
      let delay: number;

      if (retryAfter) {
        delay = parseInt(retryAfter) * 1000;
      } else {
        delay = Math.min(baseDelayMs * Math.pow(2, attempt), maxDelayMs);
      }

      // Add jitter to prevent thundering herd
      delay += delay * jitter * Math.random();
      console.warn(`CIO retry ${attempt + 1}/${maxRetries} in ${Math.round(delay)}ms`);
      await new Promise((r) => setTimeout(r, delay));
    }
  }
  throw lastErr;
}
Step 3: Rate-Limited Client
typescript
// lib/customerio-rate-limited.ts
import { TrackClient, RegionUS } from "customerio-node";
import { TokenBucket } from "./rate-limiter";
import { withBackoff } from "./backoff";

export class RateLimitedCioClient {
  private client: TrackClient;
  private limiter: TokenBucket;

  constructor(siteId: string, apiKey: string, ratePerSec: number = 80) {
    this.client = new TrackClient(siteId, apiKey, { region: RegionUS });
    this.limiter = new TokenBucket(ratePerSec, ratePerSec);
  }

  async identify(userId: string, attrs: Record<string, any>): Promise<void> {
    await this.limiter.acquire();
    return withBackoff(() => this.client.identify(userId, attrs));
  }

  async track(userId: string, event: { name: string; data?: any }): Promise<void> {
    await this.limiter.acquire();
    return withBackoff(() => this.client.track(userId, event));
  }

  async trackAnonymous(event: {
    anonymous_id: string;
    name: string;
    data?: any;
  }): Promise<void> {
    await this.limiter.acquire();
    return withBackoff(() => this.client.trackAnonymous(event));
  }

  async suppress(userId: string): Promise<void> {
    await this.limiter.acquire();
    return withBackoff(() => this.client.suppress(userId));
  }

  async destroy(userId: string): Promise<void> {
    await this.limiter.acquire();
    return withBackoff(() => this.client.destroy(userId));
  }
}
Step 4: Queue-Based Processing with p-queue

For sustained high volume, use p-queue for cleaner concurrency control:

typescript
// lib/customerio-queued.ts
import PQueue from "p-queue";
import { TrackClient, RegionUS } from "customerio-node";

const cio = new TrackClient(
  process.env.CUSTOMERIO_SITE_ID!,
  process.env.CUSTOMERIO_TRACK_API_KEY!,
  { region: RegionUS }
);

// Process at most 80 requests per second with max 10 concurrent
const queue = new PQueue({
  concurrency: 10,
  interval: 1000,
  intervalCap: 80,
});

// Queue operations instead of calling directly
export function queueIdentify(userId: string, attrs: Record<string, any>) {
  return queue.add(() => cio.identify(userId, attrs));
}

export function queueTrack(userId: string, name: string, data?: any) {
  return queue.add(() => cio.track(userId, { name, data }));
}

// Monitor queue health
setInterval(() => {
  console.log(
    `CIO queue: pending=${queue.pending} size=${queue.size}`
  );
}, 10000);

Install: npm install p-queue

Step 5: Bulk Import Strategy

For large data imports (>10K users), avoid hitting rate limits with controlled batching:

typescript
// scripts/bulk-import.ts
import { RateLimitedCioClient } from "../lib/customerio-rate-limited";

async function bulkImport(users: { id: string; attrs: Record<string, any> }[]) {
  const client = new RateLimitedCioClient(
    process.env.CUSTOMERIO_SITE_ID!,
    process.env.CUSTOMERIO_TRACK_API_KEY!,
    50  // Conservative rate — 50/sec for imports
  );

  let processed = 0;
  let errors = 0;

  for (const user of users) {
    try {
      await client.identify(user.id, user.attrs);
      processed++;
    } catch (err: any) {
      errors++;
      console.error(`Failed user ${user.id}: ${err.message}`);
    }

    if (processed % 1000 === 0) {
      console.log(`Progress: ${processed}/${users.length} (${errors} errors)`);
    }
  }

  console.log(`Done: ${processed} processed, ${errors} errors`);
}

Error Handling

ScenarioStrategy
429 receivedRespect Retry-After header, fall back to exponential backoff
Burst traffic spikeToken bucket absorbs burst, queue holds overflow
Sustained high volumeUse p-queue with interval limiting
Bulk importUse conservative rate (50/sec) with progress logging
Downstream timeoutDon't count as rate limit — retry normally

Resources

Next Steps

After implementing rate limits, proceed to customerio-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 2 other files (references) in skills/.curated/customerio-rate-limits of jeremylongshore/tons-of-skills-marketplace.

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

Questions about Customerio Rate Limits

What does Customerio Rate Limits do?

Implement Customer.io rate limiting and backoff. An agent skill from jeremylongshore/tons-of-skills-marketplace. Customerio Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace.io rate limiting and backoff.

When should I use Customerio Rate Limits?

Customerio Rate Limits fits situations like: handling high-volume API calls; implementing retry logic; hitting 429 errors.

How do I install Customerio Rate Limits in Claude Code?

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

How do I install Customerio Rate Limits in Codex?

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

Can I use Customerio 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 customerio-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/customerio-rate-limits, .gemini/skills/customerio-rate-limits, .github/skills/customerio-rate-limits and .opencode/skills/customerio-rate-limits in your project.

What does Customerio Rate Limits need to run?

Going by SKILL.md and its folder, Customerio Rate Limits needs the command-line tools its instructions call (npm) and credentials named CUSTOMERIO_TRACK_API_KEY. Our summary lists: Node.js; A credential in CUSTOMERIO_TRACK_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Glob, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Customerio Rate Limits access the network?

SKILL.md names 2 domains. As links in the text: docs.customer.io and npmjs.com. This is read from the text; nothing was executed.

Is Customerio 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 Customerio Rate Limits use?

Customerio 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 Customerio Rate Limits use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Customerio Rate Limits?

Skills that share tags, products or a category with Customerio 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 Customerio 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.