Does it support data validation?

Yes, it provides a framework for defining validation rules such as allowed lists, min/max values, and field dependencies to maintain data integrity.

What is the primary purpose of the Signal Taxonomy skill?

It is designed to create a unified schema for data signals, allowing you to normalize information from different providers into a consistent format for GTM teams.

How does this skill help with data compliance?

It tracks lineage metadata and documentation for every field, ensuring you can audit where data comes from and who owns it.

Can I use this with multiple data providers?

Yes, the skill includes templates for mapping provider-specific attributes to canonical names, making it easier to manage multi-vendor enrichment setups.

Signal Taxonomy Manager

Name: Signal Taxonomy Manager
Author: gtmagents

bygtmagents

•

Marketing Automation

Defines and manages standardized schemas, topic tags, and lineage metadata for enriched data signals across GTM workflows.

The Signal Taxonomy skill provides a structured framework for normalizing data from multiple enrichment providers into a unified schema, ensuring consistency across sales and marketing operations. It enables Go-To-Market (GTM) teams to maintain high data quality by establishing canonical names for intent topics and enrichment attributes, managing versioning for schema changes, and ensuring compliance through detailed lineage tracking. This skill is essential for RevOps teams looking to integrate diverse data signals into their data warehouse or CRM while maintaining strict validation rules, human-readable documentation, and clear ownership of data attributes.

Key Features

0129 GitHub stars

02Lineage tracking and compliance auditing for data signals

03Automated validation rules for data types and dependency checks

04Unified schema definition for multi-provider data normalization

05Canonical mapping of provider-specific attributes to standard tags

06Version control for schema changes and migration management

Use Cases

01Rolling out new lead scoring dimensions across sales and marketing platforms

02Normalizing intent data from multiple vendors into a single CRM-ready format

03Auditing data lineage to meet organizational compliance and governance requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gtmagents/gtm-agents signal-taxonomy

For use in Claude.ai and ChatGPT

Download Skill