gtm-data-architecture

gtm-data-architecture is a Data warehousing & modelling skill for AI agents, published by NEON-Rutger in the B2B-revops-skills repository on GitHub. Skillspace rates gtm-data-architecture D (66/100) and it passed the safety scan; the rating is based on static analysis only.

GTM data architecture for revenue operators who are not data engineers; warehouse-native and zero-copy patterns that have won in the market. Use when designing GTM data stacks, planning data transformation layers, evaluating CDP vendors, building identity resolution and unified customer intelligence, implementing reverse ETL (Hightouch or Census), or assessing data readiness for AI agents. Also trigger on "data architecture", "ELT vs ETL", "warehouse-native CDP", "composable CDP", "reverse ETL implementation", "dbt for RevOps", "unified health scores", "customer data platform strategy", or "data mesh for GTM". BOUNDARY: Covers architecture and transformation layers only. Handoff to revops-data-governance for CRM data quality and governance; to revops-tech-stack for vendor selection frameworks; to gtm-planning for strategy implications. This skill addresses the data layer for a RevOps team scaling AI adoption.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
37

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubNEON-Rutger/B2B-revops-skills

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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