What are the automated kill switches mentioned in the tips?

These are governance protocols that suggest pausing automated workflows if critical fields are detected as stale, missing, or failing schema validation.

Can this skill help with regulatory compliance?

Yes, it includes specific logic for managing regional consent, tracking opt-in types, and maintaining audit trails for privacy compliance like GDPR and CCPA.

How does the Data Governance skill improve marketing automation?

It provides Claude with specialized frameworks to define data requirements, track ownership, and set up monitoring alerts, preventing broken workflows caused by poor data quality.

What systems does the identity resolution framework cover?

The skill is designed to align IDs across common GTM tech stack components, including Product databases, CRMs, Marketing Automation Platforms (MAP), and Customer Data Platforms (CDP).

Does this skill provide templates for incident reporting?

Yes, it includes standardized templates for incident logs and Root Cause Analysis (RCA) specifically tailored for data-driven automation failures.

Marketing Data Governance

Name: Marketing Data Governance
Author: gtmagents

bygtmagents

•

Marketing Automation

Establishes robust data contracts, consent policies, and monitoring frameworks to ensure high-quality data across marketing and sales automation workflows.

About

The Data Governance skill transforms Claude into a specialized data steward for Go-To-Market (GTM) operations, ensuring that automation programs run on clean, compliant, and well-documented data. It provides structured frameworks for defining data contracts, managing multi-channel consent logic, and maintaining identity resolution across CRMs, CDPs, and Marketing Automation Platforms. By implementing automated kill switches and monitoring protocols, this skill helps GTM teams prevent data decay, ensure regional regulatory compliance, and quickly resolve data quality incidents that could negatively impact customer journeys.

Key Features

Standardized data contract documentation for cross-system field mapping
Cross-platform identity resolution logic for CRM and MAP alignment
Root Cause Analysis (RCA) frameworks for automation data incidents
Regional consent and compliance tracking for Email, SMS, and In-app channels
Automated monitoring templates for data latency and schema changes
29 GitHub stars

Use Cases

Deploying new customer journeys that require synchronized data across multiple SaaS platforms
Auditing global consent and suppression logic to ensure compliance with GDPR, CCPA, and other regulations
Troubleshooting data quality issues like null spikes or field latency affecting marketing campaign triggers

About

Key Features

Standardized data contract documentation for cross-system field mapping
Cross-platform identity resolution logic for CRM and MAP alignment
Root Cause Analysis (RCA) frameworks for automation data incidents
Regional consent and compliance tracking for Email, SMS, and In-app channels
Automated monitoring templates for data latency and schema changes
29 GitHub stars

Use Cases

Deploying new customer journeys that require synchronized data across multiple SaaS platforms
Auditing global consent and suppression logic to ensure compliance with GDPR, CCPA, and other regulations
Troubleshooting data quality issues like null spikes or field latency affecting marketing campaign triggers