Agent skill

Maintainx Rate Limits

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

Implement MaintainX API rate limiting, pagination, and backoff patterns.

MITAuto-check passedBackend & APIs

Install Maintainx Rate Limits

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace maintainx-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/maintainx-rate-limits .claude/skills/maintainx-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
maintainx-rate-limits
GitHub stars
2.8k
Token cost
~1.9k tokens
SKILL.md length
184 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Implement MaintainX API rate limiting, pagination, and backoff patterns.

  • Works in 4 steps: Rate-Limited Client Wrapper → Cursor-Based Pagination → Batch Operations with p-queue → …
  • Handling rate limit errors
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Reaches api.getmaintainx.com; needs MAINTAINX_API_KEY

What it does

Maintainx Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement MaintainX API rate limiting, pagination, and backoff patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for MaintainX. Trigger with phrases like "maintainx rate limit", "maintainx throttling", "maintainx 429", "maintainx retry", "maintainx backoff", "maintainx pagination".

Its SKILL.md is about 1.9k 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

  • Handling rate limit errors
  • Implementing retry logic
  • Optimizing API request throughput for MaintainX
  • With phrases like maintainx rate limit

Example prompts

  • “maintainx rate limit”
  • “maintainx throttling”
  • “maintainx 429”
  • “/maintainx-rate-limits”

Requirements

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

Workflow steps

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

  1. Rate-Limited Client Wrapper
  2. Cursor-Based Pagination
  3. Batch Operations with p-queue
  4. Rate Limit Monitoring

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

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    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.getmaintainx.com

    Also links to:

    • github.com
    • cloud.google.com

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

  • Credentials

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

    • MAINTAINX_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

Maintainx Rate Limits loads about 1.9k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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). 184 words, ~1,901 tokens.

Download SKILL.mdSave it as .claude/skills/maintainx-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
maintainx-rate-limits
description
Implement MaintainX API rate limiting, pagination, and backoff patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for MaintainX. Trigger with phrases like "maintainx rate limit", "maintainx throttling", "maintainx 429", "maintainx retry", "maintainx backoff", "maintainx pagination".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.11.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, maintainx, api

MaintainX Rate Limits

Overview

Handle MaintainX API rate limits gracefully with exponential backoff, cursor-based pagination, and request queuing to maximize throughput without triggering 429 errors.

Prerequisites

  • MaintainX API access configured
  • Node.js 18+ with axios
  • Understanding of async/await patterns

Instructions

Step 1: Rate-Limited Client Wrapper
typescript
// src/rate-limited-client.ts
import axios, { AxiosInstance, AxiosError } from 'axios';

export class RateLimitedClient {
  private http: AxiosInstance;
  private requestQueue: Array<() => void> = [];
  private activeRequests = 0;
  private maxConcurrent = 5;
  private minDelayMs = 100;  // 10 requests/second max

  constructor(apiKey?: string) {
    const key = apiKey || process.env.MAINTAINX_API_KEY;
    if (!key) throw new Error('MAINTAINX_API_KEY required');

    this.http = axios.create({
      baseURL: 'https://api.getmaintainx.com/v1',
      headers: {
        Authorization: `Bearer ${key}`,
        'Content-Type': 'application/json',
      },
      timeout: 30_000,
    });
  }

  private async throttle(): Promise<void> {
    if (this.activeRequests >= this.maxConcurrent) {
      await new Promise<void>((resolve) => this.requestQueue.push(resolve));
    }
    this.activeRequests++;
    await new Promise((r) => setTimeout(r, this.minDelayMs));
  }

  private release() {
    this.activeRequests--;
    const next = this.requestQueue.shift();
    if (next) next();
  }

  async request<T>(method: string, url: string, data?: any, params?: any): Promise<T> {
    await this.throttle();
    try {
      const response = await this.retryWithBackoff(
        () => this.http.request<T>({ method, url, data, params }),
      );
      return response.data;
    } finally {
      this.release();
    }
  }

  private async retryWithBackoff<T>(
    fn: () => Promise<T>,
    maxRetries = 3,
    baseDelay = 1000, // 1 second initial backoff delay
  ): Promise<T> {
    for (let attempt = 0; attempt <= maxRetries; attempt++) {
      try {
        return await fn();
      } catch (err) {
        const axiosErr = err as AxiosError;
        const status = axiosErr.response?.status;

        if (status !== 429 && !(status && status >= 500) || attempt === maxRetries) {
          throw err;
        }

        // Honor Retry-After header
        const retryAfter = axiosErr.response?.headers?.['retry-after'];
        const delayMs = retryAfter
          ? parseInt(retryAfter) * 1000
          : baseDelay * Math.pow(2, attempt) + Math.random() * 500;

        console.warn(
          `Rate limited (HTTP ${status}). Retry ${attempt + 1}/${maxRetries} in ${Math.round(delayMs)}ms`,
        );
        await new Promise((r) => setTimeout(r, delayMs));
      }
    }
    throw new Error('Unreachable');
  }
}
Step 2: Cursor-Based Pagination

MaintainX returns a cursor field in list responses. Pass it as a query parameter to fetch the next page.

typescript
async function paginateAll<T>(
  client: RateLimitedClient,
  endpoint: string,
  resultKey: string,
  params?: Record<string, any>,
): Promise<T[]> {
  const allItems: T[] = [];
  let cursor: string | undefined;

  do {
    const response: any = await client.request('GET', endpoint, undefined, {
      ...params,
      limit: 100,
      cursor,
    });
    const items = response[resultKey] as T[];
    allItems.push(...items);
    cursor = response.cursor ?? undefined;

    // Log progress for long-running operations
    if (allItems.length % 500 === 0) {
      console.log(`  Fetched ${allItems.length} items so far...`);
    }
  } while (cursor);

  return allItems;
}

// Usage
const allWorkOrders = await paginateAll(client, '/workorders', 'workOrders', {
  status: 'OPEN',
});
console.log(`Total: ${allWorkOrders.length} open work orders`);
Step 3: Batch Operations with p-queue
typescript
import PQueue from 'p-queue';

// 5 concurrent requests, max 10 per second
const queue = new PQueue({
  concurrency: 5,
  interval: 1000, // 1 second window for rate cap
  intervalCap: 10,
});

async function batchUpdate(
  client: RateLimitedClient,
  updates: Array<{ id: number; data: any }>,
) {
  const results = await Promise.allSettled(
    updates.map((update) =>
      queue.add(() =>
        client.request('PATCH', `/workorders/${update.id}`, update.data),
      ),
    ),
  );

  const succeeded = results.filter((r) => r.status === 'fulfilled').length;
  const failed = results.filter((r) => r.status === 'rejected').length;
  console.log(`Batch update: ${succeeded} succeeded, ${failed} failed`);
  return results;
}

// Close 100 completed work orders
const completedOrders = await paginateAll(
  client, '/workorders', 'workOrders', { status: 'COMPLETED' },
);

await batchUpdate(
  client,
  completedOrders.map((wo: any) => ({ id: wo.id, data: { status: 'CLOSED' } })),
);
Step 4: Rate Limit Monitoring
typescript
// src/rate-monitor.ts
class RateMonitor {
  private requests: number[] = [];
  private windowMs = 60_000; // 1 minute window

  record() {
    this.requests.push(Date.now());
    this.cleanup();
  }

  cleanup() {
    const cutoff = Date.now() - this.windowMs;
    this.requests = this.requests.filter((t) => t > cutoff);
  }

  getRate(): number {
    this.cleanup();
    return this.requests.length;
  }

  report() {
    const rate = this.getRate();
    const status = rate > 50 ? 'WARNING' : 'OK';
    console.log(`[RateMonitor] ${rate} req/min - ${status}`);
    return { rate, status };
  }
}

Output

  • Rate-limited client wrapper with built-in throttling and retry
  • Cursor-based pagination utility collecting all results
  • Batch operations with controlled concurrency via p-queue
  • Rate monitoring to track and alert on API usage

Error Handling

ScenarioStrategy
429 Too Many RequestsExponential backoff with jitter, honor Retry-After header
Retry-After header presentWait the specified number of seconds before retrying
Burst of requestsQueue with p-queue (concurrency: 5, intervalCap: 10/sec)
Large data sets (1000+ items)Paginate with limit: 100, delay between pages

Resources

Next Steps

For security configuration, see maintainx-security-basics.

Examples

Adaptive rate limiting based on response headers:

typescript
// Adjust concurrency dynamically based on remaining quota
function adaptRate(headers: Record<string, string>, queue: PQueue) {
  const remaining = parseInt(headers['x-ratelimit-remaining'] || '100');
  if (remaining < 10) {
    queue.concurrency = 1;
    console.warn('Approaching rate limit, reducing concurrency to 1');
  } else if (remaining < 50) {
    queue.concurrency = 3;
  } else {
    queue.concurrency = 5;
  }
}

© 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/maintainx-rate-limits of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

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Categories

Questions about Maintainx Rate Limits

What does Maintainx Rate Limits do?

Implement MaintainX API rate limiting, pagination, and backoff patterns. Maintainx Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement MaintainX API rate limiting, pagination, and backoff patterns.

When should I use Maintainx Rate Limits?

Maintainx Rate Limits fits situations like: handling rate limit errors; implementing retry logic; optimizing API request throughput for MaintainX; with phrases like maintainx rate limit.

How do I install Maintainx Rate Limits in Claude Code?

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

How do I install Maintainx Rate Limits in Codex?

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

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

What does Maintainx Rate Limits need to run?

Going by SKILL.md and its folder, Maintainx Rate Limits needs credentials named MAINTAINX_API_KEY. Our summary lists: Node.js; A credential in MAINTAINX_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Maintainx Rate Limits access the network?

SKILL.md names 3 domains. In commands or code: api.getmaintainx.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and cloud.google.com. This is read from the text; nothing was executed.

Is Maintainx 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 Maintainx Rate Limits use?

Maintainx 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 Maintainx Rate Limits use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Maintainx Rate Limits?

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