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apollo-reference-architecture阿波罗参考架构

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apollo-reference-architecture 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:apollo-reference-architecture(阿波罗参考架构)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/apollo-reference-architecture
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill apollo-reference-architecture
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。

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skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill apollo-reference-architecture

简介

apollo-reference-architecture 提供生产级集成架构参考,包含 API 层、服务层、数据库与后台任务设计。

  • 采用分层结构组织代码,支持 CRM 同步与交易管道管理,适配 PostgreSQL 与 Redis 技术栈。
  • 适用于复杂系统集成项目,帮助规划可扩展的数据流与职责分离,提升长期维护性。
  • 使用前需准备 Apollo 主 API 密钥与数据库环境,注意是否会引入外部依赖或修改现有架构。
  • 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。

SKILL.md

Apollo Reference Architecture

Overview

Production-ready reference architecture for Apollo.io integrations. Layered design with API client, service layer, background jobs, database models, CRM sync, and deals pipeline — all built around Apollo's REST API with correct endpoints and x-api-key authentication.

Prerequisites

  • Apollo master API key
  • Node.js 18+ with TypeScript
  • PostgreSQL for data layer
  • Redis for job queues

Instructions

Step 1: Architecture Diagram

┌───────────────────────────────────────────────┐
│                 API Layer                      │  Express routes
│  POST /api/leads/search     GET /api/org/:d    │  POST /api/deals
├───────────────────────────────────────────────┤
│              Service Layer                     │  Business logic
│  LeadService    EnrichService   DealService    │  SequenceService
├───────────────────────────────────────────────┤
│              Client Layer                      │  Apollo API wrapper
│  ApolloClient   RateLimiter   Cache            │  CreditTracker
├───────────────────────────────────────────────┤
│            Background Jobs                     │  BullMQ queues
│  EnrichJob    SyncJob    StageChangeJob        │  TaskCreatorJob
├───────────────────────────────────────────────┤
│              Data Layer                        │  Prisma/TypeORM
│  Contact   Organization   Deal   AuditLog      │
└───────────────────────────────────────────────┘

Step 2: Service Layer

// src/services/lead-service.ts
import { getApolloClient } from '../apollo/client';
import { withRetry } from '../apollo/retry';
import { cachedRequest } from '../apollo/cache';

export class LeadService {
  private client = getApolloClient();

  async searchPeople(params: { domains: string[]; titles?: string[]; seniorities?: string[]; page?: number }) {
    return cachedRequest('/mixed_people/api_search',
      () => withRetry(() => this.client.post('/mixed_people/api_search', {
        q_organization_domains_list: params.domains,
        person_titles: params.titles,
        person_seniorities: params.seniorities,
        page: params.page ?? 1, per_page: 100,
      })),
      params,
    );
  }

  async enrichPerson(email: string) {
    return withRetry(() => this.client.post('/people/match', { email }));
  }

  async enrichOrg(domain: string) {
    return cachedRequest('/organizations/enrich',
      () => withRetry(() => this.client.get('/organizations/enrich', { params: { domain } })),
      { domain },
    );
  }
}

Step 3: Deals/Opportunities Service

Apollo has a full Deals API for tracking revenue pipeline.

// src/services/deal-service.ts
export class DealService {
  private client = getApolloClient();

  async createDeal(params: {
    name: string;
    amount: number;
    ownerId: string;       // Apollo user ID
    accountId?: string;    // Apollo account ID
    contactIds?: string[]; // Apollo contact IDs
    stageId?: string;      // Deal stage ID
  }) {
    const { data } = await this.client.post('/opportunities', {
      name: params.name,
      amount: params.amount,
      owner_id: params.ownerId,
      account_id: params.accountId,
      contact_ids: params.contactIds,
      opportunity_stage_id: params.stageId,
    });
    return { dealId: data.opportunity.id, name: data.opportunity.name };
  }

  async listDeals(page: number = 1) {
    const { data } = await this.client.post('/opportunities/search', { page, per_page: 50 });
    return data.opportunities.map((d: any) => ({
      id: d.id, name: d.name, amount: d.amount,
      stage: d.opportunity_stage?.name, owner: d.owner?.name,
    }));
  }

  async getDealStages() {
    const { data } = await this.client.get('/opportunity_stages');
    return data.opportunity_stages.map((s: any) => ({ id: s.id, name: s.name, order: s.display_order }));
  }

  async updateDeal(dealId: string, updates: { amount?: number; stageId?: string }) {
    await this.client.patch(`/opportunities/${dealId}`, {
      amount: updates.amount,
      opportunity_stage_id: updates.stageId,
    });
  }
}

Step 4: Background Job Processing

// src/jobs/enrichment-job.ts
import { Queue, Worker, Job } from 'bullmq';
import { LeadService } from '../services/lead-service';

const connection = { host: process.env.REDIS_HOST ?? 'localhost', port: 6379 };

export const enrichmentQueue = new Queue('apollo-enrichment', {
  connection,
  defaultJobOptions: {
    attempts: 3,
    backoff: { type: 'exponential', delay: 5000 },
    removeOnComplete: 1000,
  },
});

const leadService = new LeadService();

new Worker('apollo-enrichment', async (job: Job) => {
  switch (job.name) {
    case 'enrich-person':
      return leadService.enrichPerson(job.data.email);
    case 'enrich-org':
      return leadService.enrichOrg(job.data.domain);
    case 'bulk-search': {
      const results: any[] = [];
      for (const domain of job.data.domains) {
        const { data } = await leadService.searchPeople({ domains: [domain] });
        results.push(...data.people);
        await job.updateProgress(results.length);
      }
      return { total: results.length };
    }
  }
}, { connection, concurrency: 3, limiter: { max: 50, duration: 60_000 } });

Step 5: Database Model

// src/models/contact.ts (Prisma schema excerpt)
// model Contact {
//   id             String   @id @default(cuid())
//   apolloId       String   @unique
//   email          String   @unique
//   name           String
//   title          String?
//   seniority      String?
//   phone          String?
//   linkedinUrl    String?
//   organizationId String?
//   rawApolloData  Json?
//   enrichedAt     DateTime?
//   createdAt      DateTime @default(now())
//   updatedAt      DateTime @updatedAt
// }

// TypeORM version
import { Entity, Column, PrimaryColumn, CreateDateColumn, UpdateDateColumn } from 'typeorm';

@Entity('contacts')
export class Contact {
  @PrimaryColumn() apolloId: string;
  @Column({ unique: true }) email: string;
  @Column() name: string;
  @Column({ nullable: true }) title: string;
  @Column({ nullable: true }) seniority: string;
  @Column({ nullable: true }) phone: string;
  @Column({ nullable: true }) linkedinUrl: string;
  @Column({ type: 'jsonb', nullable: true }) rawApolloData: Record<string, any>;
  @Column({ nullable: true }) enrichedAt: Date;
  @CreateDateColumn() createdAt: Date;
  @UpdateDateColumn() updatedAt: Date;
}

Step 6: API Routes

// src/api/routes.ts
import { Router } from 'express';
import { LeadService } from '../services/lead-service';
import { DealService } from '../services/deal-service';

const router = Router();
const leads = new LeadService();
const deals = new DealService();

router.post('/api/leads/search', async (req, res) => {
  const { data } = await leads.searchPeople(req.body);
  res.json({ leads: data.people, pagination: data.pagination });
});

router.post('/api/leads/enrich', async (req, res) => {
  const { data } = await leads.enrichPerson(req.body.email);
  res.json({ contact: data.person });
});

router.get('/api/organizations/:domain', async (req, res) => {
  const { data } = await leads.enrichOrg(req.params.domain);
  res.json({ organization: data.organization });
});

router.post('/api/deals', async (req, res) => {
  const result = await deals.createDeal(req.body);
  res.json(result);
});

router.get('/api/deals', async (req, res) => {
  const list = await deals.listDeals(parseInt(req.query.page as string) || 1);
  res.json({ deals: list });
});

export { router };

Output

  • Layered architecture: API, Service, Client, Jobs, Data
  • LeadService with cached search and retried enrichment
  • DealService with create, list, update, and stage management
  • BullMQ background jobs for async enrichment
  • Database model (Prisma + TypeORM)
  • Express API routes for search, enrichment, and deals

Error Handling

LayerStrategy
ClientRetry with backoff, circuit breaker for prolonged outages
ServiceCache fallback on failure, credit budget enforcement
Jobs3 retries with exponential backoff, dead letter after max
APIStructured JSON error responses with error codes

Resources

Next Steps

Proceed to apollo-multi-env-setup for environment configuration.

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