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Agent Skill · 前端设计

background-jobs(后台工作)

background-jobs 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

background-jobs 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 6,045。

总安装 563周安装 23GitHub Stars 777下载 180核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:background-jobs(后台工作)
来源仓库:https://github.com/dadbodgeoff/drift
仓库路径:skills/background-jobs
安装命令:
npx skills add https://github.com/dadbodgeoff/drift --skill background-jobs
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dadbodgeoff/drift --skill background-jobs

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

background-jobs 用于处理长时间运行任务、定时作业与异步工作流,适合在 Codex、Claude、Cursor、Gemini CLI 中需要实现报告生成、清理或 webhook 处理时使用。它提供队列驱动架构与死信队列支持,具备重试机制和可靠性保障,适用于微服务与云原生环境。

使用时需区分同步与异步操作边界,合理设置超时与重试策略;建议通过监控指标跟踪任务状态。安装前请确认仓库权限,注意是否会触发命令执行或网络调用,确保不影响主业务流程稳定性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/background-jobs

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dadbodgeoff/drift --skill background-jobs;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

background-jobs 怎么安装?

在终端执行 npx skills add https://github.com/dadbodgeoff/drift --skill background-jobs。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

background-jobs 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

background-jobs 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

background-jobs 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

background-jobs 用的人多吗?

公开数据是累计安装 563 次,近一周安装 23 次,下载 180 次,GitHub 777 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

background-jobs 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
background-jobs

后台工作 · 本页

563777需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Background Jobs

Production-ready background job processing with reliability guarantees.

When to Use This Skill

  • Processing that takes longer than a request timeout
  • Scheduled/recurring tasks (reports, cleanup, sync)
  • Async workflows (email, notifications, webhooks)
  • Work that can fail and needs retries

Architecture Overview

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   API       │────▶│   Queue     │────▶│   Worker    │
│   Server    │     │   (Redis)   │     │   Process   │
└─────────────┘     └─────────────┘     └─────────────┘
                           │                   │
                           │              ┌────┴────┐
                           │              │ Success │
                           │              └────┬────┘
                           │                   │
                           ▼                   ▼
                    ┌─────────────┐     ┌─────────────┐
                    │    DLQ      │     │  Complete   │
                    │ (failures)  │     │   State     │
                    └─────────────┘     └─────────────┘

Job State Machine

┌─────────┐
│ PENDING │──────────────────────────────┐
└────┬────┘                              │
     │ picked up                         │
     ▼                                   │
┌─────────┐                              │
│ RUNNING │──────────┐                   │
└────┬────┘          │                   │
     │               │ failure           │
     │ success       ▼                   │
     │         ┌──────────┐              │
     │         │ RETRYING │──────────────┤
     │         └────┬─────┘              │
     │              │ max retries        │
     ▼              ▼                    │
┌─────────┐  ┌──────────┐         ┌──────┴──────┐
│ SUCCESS │  │  FAILED  │         │  CANCELLED  │
└─────────┘  └──────────┘         └─────────────┘

TypeScript Implementation

Job Types and Queue

// types.ts
type JobStatus = 'pending' | 'running' | 'success' | 'failed' | 'retrying' | 'cancelled';

interface Job<T = unknown> {
  id: string;
  type: string;
  payload: T;
  status: JobStatus;
  attempts: number;
  maxAttempts: number;
  createdAt: Date;
  scheduledFor: Date;
  startedAt?: Date;
  completedAt?: Date;
  error?: string;
  result?: unknown;
}

interface JobHandler<T = unknown> {
  (payload: T, job: Job<T>): Promise<unknown>;
}

Queue Implementation (Redis)

// queue.ts
import { Redis } from 'ioredis';
import { v4 as uuid } from 'uuid';

class JobQueue {
  private redis: Redis;
  private handlers = new Map<string, JobHandler>();

  constructor(redis: Redis) {
    this.redis = redis;
  }

  register<T>(type: string, handler: JobHandler<T>): void {
    this.handlers.set(type, handler as JobHandler);
  }

  async enqueue<T>(
    type: string,
    payload: T,
    options: { delay?: number; maxAttempts?: number } = {}
  ): Promise<string> {
    const job: Job<T> = {
      id: uuid(),
      type,
      payload,
      status: 'pending',
      attempts: 0,
      maxAttempts: options.maxAttempts || 3,
      createdAt: new Date(),
      scheduledFor: new Date(Date.now() + (options.delay || 0)),
    };

    await this.redis.zadd(
      'jobs:pending',
      job.scheduledFor.getTime(),
      JSON.stringify(job)
    );

    return job.id;
  }

  async process(): Promise<void> {
    while (true) {
      const result = await this.redis.bzpopmin('jobs:pending', 1);
      if (!result) continue;

      const job: Job = JSON.parse(result[1]);

      if (job.scheduledFor.getTime() > Date.now()) {
        // Not ready yet, put back
        await this.redis.zadd('jobs:pending', job.scheduledFor.getTime(), JSON.stringify(job));
        continue;
      }

      await this.executeJob(job);
    }
  }

  private async executeJob(job: Job): Promise<void> {
    const handler = this.handlers.get(job.type);
    if (!handler) {
      console.error(`No handler for job type: ${job.type}`);
      return;
    }

    job.status = 'running';
    job.attempts++;
    job.startedAt = new Date();

    try {
      job.result = await handler(job.payload, job);
      job.status = 'success';
      job.completedAt = new Date();

      await this.redis.hset('jobs:completed', job.id, JSON.stringify(job));
    } catch (error) {
      job.error = error instanceof Error ? error.message : String(error);

      if (job.attempts < job.maxAttempts) {
        job.status = 'retrying';
        const backoff = Math.pow(2, job.attempts) * 1000; // Exponential backoff
        job.scheduledFor = new Date(Date.now() + backoff);

        await this.redis.zadd('jobs:pending', job.scheduledFor.getTime(), JSON.stringify(job));
      } else {
        job.status = 'failed';
        job.completedAt = new Date();

        // Move to dead letter queue
        await this.redis.lpush('jobs:dlq', JSON.stringify(job));
      }
    }
  }
}

export { JobQueue, Job, JobHandler };

Job Handlers

// handlers/email.ts
import { JobHandler } from '../queue';

interface SendEmailPayload {
  to: string;
  subject: string;
  template: string;
  data: Record<string, unknown>;
}

export const sendEmailHandler: JobHandler<SendEmailPayload> = async (payload) => {
  const { to, subject, template, data } = payload;

  // Render template
  const html = await renderTemplate(template, data);

  // Send via email provider
  await emailProvider.send({
    to,
    subject,
    html,
  });

  return { sent: true, to };
};

// handlers/webhook.ts
interface WebhookPayload {
  url: string;
  event: string;
  data: unknown;
}

export const webhookHandler: JobHandler<WebhookPayload> = async (payload, job) => {
  const response = await fetch(payload.url, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-Webhook-Event': payload.event,
      'X-Webhook-Delivery': job.id,
    },
    body: JSON.stringify(payload.data),
  });

  if (!response.ok) {
    throw new Error(`Webhook failed: ${response.status}`);
  }

  return { status: response.status };
};

Worker Process

// worker.ts
import { Redis } from 'ioredis';
import { JobQueue } from './queue';
import { sendEmailHandler } from './handlers/email';
import { webhookHandler } from './handlers/webhook';

const redis = new Redis(process.env.REDIS_URL);
const queue = new JobQueue(redis);

// Register handlers
queue.register('send-email', sendEmailHandler);
queue.register('webhook', webhookHandler);

// Graceful shutdown
let isShuttingDown = false;

process.on('SIGTERM', () => {
  console.log('Received SIGTERM, shutting down gracefully...');
  isShuttingDown = true;
});

// Start processing
console.log('Worker started, waiting for jobs...');
queue.process();

Python Implementation

# queue.py
import json
import uuid
from datetime import datetime, timedelta
from enum import Enum
from typing import Any, Callable, Dict, Optional
from redis import Redis
from dataclasses import dataclass, asdict

class JobStatus(Enum):
    PENDING = "pending"
    RUNNING = "running"
    SUCCESS = "success"
    FAILED = "failed"
    RETRYING = "retrying"

@dataclass
class Job:
    id: str
    type: str
    payload: Dict[str, Any]
    status: JobStatus
    attempts: int
    max_attempts: int
    created_at: datetime
    scheduled_for: datetime
    started_at: Optional[datetime] = None
    completed_at: Optional[datetime] = None
    error: Optional[str] = None
    result: Optional[Any] = None

class JobQueue:
    def __init__(self, redis: Redis):
        self.redis = redis
        self.handlers: Dict[str, Callable] = {}

    def register(self, job_type: str, handler: Callable) -> None:
        self.handlers[job_type] = handler

    def enqueue(
        self,
        job_type: str,
        payload: Dict[str, Any],
        delay: int = 0,
        max_attempts: int = 3,
    ) -> str:
        job = Job(
            id=str(uuid.uuid4()),
            type=job_type,
            payload=payload,
            status=JobStatus.PENDING,
            attempts=0,
            max_attempts=max_attempts,
            created_at=datetime.utcnow(),
            scheduled_for=datetime.utcnow() + timedelta(seconds=delay),
        )

        self.redis.zadd(
            "jobs:pending",
            {json.dumps(asdict(job), default=str): job.scheduled_for.timestamp()},
        )

        return job.id

    def process(self) -> None:
        while True:
            result = self.redis.bzpopmin("jobs:pending", timeout=1)
            if not result:
                continue

            job_data = json.loads(result[1])
            job = Job(**job_data)
            job.status = JobStatus(job.status)

            self._execute_job(job)

    def _execute_job(self, job: Job) -> None:
        handler = self.handlers.get(job.type)
        if not handler:
            return

        job.status = JobStatus.RUNNING
        job.attempts += 1
        job.started_at = datetime.utcnow()

        try:
            job.result = handler(job.payload, job)
            job.status = JobStatus.SUCCESS
            job.completed_at = datetime.utcnow()

            self.redis.hset("jobs:completed", job.id, json.dumps(asdict(job), default=str))
        except Exception as e:
            job.error = str(e)

            if job.attempts < job.max_attempts:
                job.status = JobStatus.RETRYING
                backoff = 2 ** job.attempts
                job.scheduled_for = datetime.utcnow() + timedelta(seconds=backoff)

                self.redis.zadd(
                    "jobs:pending",
                    {json.dumps(asdict(job), default=str): job.scheduled_for.timestamp()},
                )
            else:
                job.status = JobStatus.FAILED
                job.completed_at = datetime.utcnow()

                self.redis.lpush("jobs:dlq", json.dumps(asdict(job), default=str))

Dead Letter Queue Management

// dlq.ts
class DLQManager {
  constructor(private redis: Redis) {}

  async getFailedJobs(limit = 100): Promise<Job[]> {
    const jobs = await this.redis.lrange('jobs:dlq', 0, limit - 1);
    return jobs.map(j => JSON.parse(j));
  }

  async retryJob(jobId: string): Promise<boolean> {
    const jobs = await this.getFailedJobs(1000);
    const job = jobs.find(j => j.id === jobId);

    if (!job) return false;

    // Reset and re-enqueue
    job.status = 'pending';
    job.attempts = 0;
    job.error = undefined;
    job.scheduledFor = new Date();

    await this.redis.zadd('jobs:pending', Date.now(), JSON.stringify(job));
    await this.redis.lrem('jobs:dlq', 1, JSON.stringify(job));

    return true;
  }

  async purgeOldJobs(olderThanDays = 7): Promise<number> {
    const cutoff = Date.now() - olderThanDays * 24 * 60 * 60 * 1000;
    const jobs = await this.getFailedJobs(10000);

    let purged = 0;
    for (const job of jobs) {
      if (new Date(job.completedAt!).getTime() < cutoff) {
        await this.redis.lrem('jobs:dlq', 1, JSON.stringify(job));
        purged++;
      }
    }

    return purged;
  }
}

Scheduling Recurring Jobs

// scheduler.ts
class JobScheduler {
  private intervals: NodeJS.Timeout[] = [];

  constructor(private queue: JobQueue) {}

  schedule(
    type: string,
    payload: unknown,
    cronExpression: string
  ): void {
    // Simple interval-based scheduling
    // For production, use node-cron or similar
    const interval = this.parseCron(cronExpression);

    const timer = setInterval(() => {
      this.queue.enqueue(type, payload);
    }, interval);

    this.intervals.push(timer);
  }

  stop(): void {
    this.intervals.forEach(clearInterval);
  }

  private parseCron(expr: string): number {
    // Simplified: "*/5 * * * *" = every 5 minutes
    const match = expr.match(/^\*\/(\d+)/);
    if (match) {
      return parseInt(match[1]) * 60 * 1000;
    }
    return 60000; // Default 1 minute
  }
}

// Usage
const scheduler = new JobScheduler(queue);
scheduler.schedule('cleanup-expired-sessions', {}, '*/15 * * * *');
scheduler.schedule('send-daily-digest', {}, '0 9 * * *');

Best Practices

  1. Always use exponential backoff: Prevents thundering herd on failures
  2. Set reasonable max attempts: 3-5 for most jobs
  3. Monitor DLQ size: Alert when it grows
  4. Make jobs idempotent: Same job can run multiple times safely
  5. Include job ID in logs: Makes debugging easier

Common Mistakes

  • Not handling worker crashes (jobs stuck in running state)
  • No visibility into job status
  • Forgetting to handle DLQ
  • Jobs that aren't idempotent
  • No graceful shutdown (jobs killed mid-execution)

Observability

// Add metrics
const jobsProcessed = new Counter({
  name: 'jobs_processed_total',
  help: 'Total jobs processed',
  labelNames: ['type', 'status'],
});

const jobDuration = new Histogram({
  name: 'job_duration_seconds',
  help: 'Job processing duration',
  labelNames: ['type'],
});

const dlqSize = new Gauge({
  name: 'dlq_size',
  help: 'Dead letter queue size',
});

平台分布

Codex

32.75%
按下载量换算59

Claude

32.26%
按下载量换算58

Cursor

17.13%
按下载量换算31

Gemini CLI

9.02%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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