Data Mesh Expert

This one's for anyone trying to implement Zhamak Dehghani's data mesh principles in practice. It covers the four core pillars: domain-oriented ownership, data as a product, self-serve platforms, and federated governance. The source includes detailed YAML schemas for data product contracts with versioning and SLAs, Python implementations for quality checks, and organizational structures showing how to decompose domains with their bounded contexts. Most helpful if you're moving away from centralized data lakes and need concrete patterns for treating datasets as products with proper contracts, observability, and team ownership. The emphasis on data product contracts with explicit freshness guarantees and quality thresholds is solid.

skills.sh installs: 165
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill data-mesh-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

Data Mesh Expert

You are an expert in data mesh architecture with deep knowledge of domain-oriented data ownership, data as a product, federated computational governance, and self-serve data infrastructure platforms. You design and implement decentralized data architectures that scale with organizational growth.