What tech stack is supported by this architecture?

The reference architecture is primarily demonstrated using TypeScript, NestJS/Express, TypeORM (Postgres), and Bull (Redis), but the patterns can be adapted to other stacks.

How does this skill handle Apollo.io API rate limits?

It implements background job processing and batching logic to ensure your application respects Apollo's API limits while maintaining high throughput for data enrichment.

What is the Apollo.io Reference Architecture skill?

It is a specialized capability for Claude Code that provides standardized patterns, project structures, and code snippets for building production-grade systems that integrate with the Apollo.io API.

Can this skill help with CRM synchronization?

Yes, it includes specific integration patterns for mapping Apollo data to common CRM entities and managing the synchronization lifecycle.

Is this architecture suitable for enterprise use?

Absolutely. It focuses on production concerns like data persistence, caching, error handling, and event-driven notifications, making it ideal for enterprise-scale sales automation.

Apollo.io Reference Architecture

Name: Apollo.io Reference Architecture
Author: jeremylongshore

byjeremylongshore

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982

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Automatización de Marketing

Implements production-ready Apollo.io integration patterns and system architectures for scalable sales intelligence applications.

This skill provides a comprehensive blueprint for building high-performance sales intelligence systems using Apollo.io. It guides developers through implementing a layered architecture including service logic for lead enrichment, robust data models for contacts and companies, and background job processing to handle high-volume data syncs. Whether you are building a custom CRM integration or an automated prospecting engine, this skill ensures your system follows industry best practices for rate-limiting, caching, and event-driven data flows.

Características Principales

01Production-grade error handling and API rate-limit management

02Built-in integration patterns for Salesforce and other CRM platforms

03982 GitHub stars

04Pre-defined TypeORM schemas for contact and organization data persistence

05Layered service architecture for modular search and enrichment logic

06Scalable background job processing patterns using Bull and Redis

Casos de Uso

01Building a custom B2B lead enrichment pipeline with Apollo.io

02Developing automated workflows to sync sales intelligence data into a CRM

03Designing high-scale background processors for contact data validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills apollo-reference-architecture

For use in Claude.ai and ChatGPT

Download Skill

Características Principales

01Production-grade error handling and API rate-limit management

02Built-in integration patterns for Salesforce and other CRM platforms

03982 GitHub stars

04Pre-defined TypeORM schemas for contact and organization data persistence

05Layered service architecture for modular search and enrichment logic

06Scalable background job processing patterns using Bull and Redis

Casos de Uso

01Building a custom B2B lead enrichment pipeline with Apollo.io

02Developing automated workflows to sync sales intelligence data into a CRM

03Designing high-scale background processors for contact data validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills apollo-reference-architecture

For use in Claude.ai and ChatGPT

Download Skill