What platforms does this skill support?

It is designed for multi-system orchestration including Clay, HubSpot, Slack, Make, n8n, and any generic REST API integration.

Can I use this for GTM (Go-To-Market) automation?

Absolutely. It includes specific recipes for lead enrichment, CRM synchronization, and high-intent signal notifications often used in GTM stacks.

Does it handle API rate limits and errors?

Yes, it includes specific implementation patterns for exponential backoff, retry logic, and processing delays to ensure high reliability and compliance with API limits.

How does it improve webhook security?

The skill provides a validation checklist and code patterns for verifying webhook signatures and secrets, ensuring your endpoints only process authorized data.

Data Orchestration & API Integration

Name: Data Orchestration & API Integration
Author: josephdeville

byjosephdeville

Marketing Automation

Builds robust multi-system integrations, ETL workflows, and automated API connections across platforms like Clay, HubSpot, and Make.

About

This skill empowers Claude to design and implement complex data pipelines and automated workflows between disparate systems. It provides standardized patterns for building webhook handlers, REST API connections with retry logic, and multi-system orchestration using tools like Make and n8n. Whether you are synchronizing CRM data, enriching leads via Clay, or setting up error-resilient ETL processes, this skill ensures best practices in authentication, rate limiting, and observability are followed to create production-grade automation.

Key Features

Resilient REST API implementation with built-in retry and rate-limiting logic
Comprehensive ETL pipeline patterns for data normalization and enrichment
Multi-system integration architecture for tools like Clay, HubSpot, and Slack
Standardized Make and n8n automation scenario patterns
0 GitHub stars
Secure webhook receiver setup with signature validation checklists

Use Cases

Automating lead enrichment flows from Clay to CRM systems with Slack notifications
Building multi-touch attribution models to track marketing campaign performance
Creating event-driven data pipelines for real-time synchronization between SaaS platforms

About

Key Features

Resilient REST API implementation with built-in retry and rate-limiting logic
Comprehensive ETL pipeline patterns for data normalization and enrichment
Multi-system integration architecture for tools like Clay, HubSpot, and Slack
Standardized Make and n8n automation scenario patterns
0 GitHub stars
Secure webhook receiver setup with signature validation checklists

Use Cases

Automating lead enrichment flows from Clay to CRM systems with Slack notifications
Building multi-touch attribution models to track marketing campaign performance
Creating event-driven data pipelines for real-time synchronization between SaaS platforms