| name | apollo-reference-architecture |
| description | Implement Apollo.io reference architecture.
Use when designing Apollo integrations, establishing patterns,
or building production-grade sales intelligence systems.
Trigger with phrases like "apollo architecture", "apollo system design",
"apollo integration patterns", "apollo best practices architecture".
|
| allowed-tools | Read, Write, Edit, Bash(gh:*), Bash(curl:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| compatible-with | claude-code, codex, openclaw |
Apollo Reference Architecture
Overview
Production-ready reference architecture for Apollo.io integrations covering system design, data flows, and integration patterns.
Prerequisites
- Valid Apollo.io API credentials
- Node.js 18+ or Python 3.10+
- Completed
apollo-install-auth setup
Instructions
Follow these high-level steps to implement apollo-reference-architecture:
- Review the prerequisites and ensure your environment is configured
- Follow the detailed implementation guide for step-by-step code examples
- Validate your implementation against the output checklist below
For full implementation details, load: Read(plugins/saas-packs/apollo-pack/skills/apollo-reference-architecture/references/implementation-guide.md)
Output
- Layered architecture (client, service, job, model)
- Background job processing with Bull
- Database models with TypeORM
- RESTful API endpoints
- CRM integration patterns
- Event-driven architecture
Error Handling
| Layer | Strategy |
|---|
| Client | Retry with backoff |
| Service | Graceful degradation |
| Jobs | Dead letter queue |
| API | Structured error responses |
Resources
Next Steps
Proceed to apollo-multi-env-setup for environment configuration.
Examples
Basic usage: Apply apollo reference architecture to a standard project setup with default configuration options.
Advanced scenario: Customize apollo reference architecture for production environments with multiple constraints and team-specific requirements.
