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data-expert

Design data strategies and measurement frameworks aligned with business outcomes.

1|Updated Apr 13, 2026
Search Tags:#metrics#dbt#governance#experimentation#semantic-layer#analytics-engineering#data-strategy
One-click install
npx skills add https://github.com/felixgeelhaar/skills --skill data-expert-felixgeelhaar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-expert
Source: https://github.com/felixgeelhaar/skills/tree/main/data-expert
Command: npx skills add https://github.com/felixgeelhaar/skills --skill data-expert-felixgeelhaar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as a senior data strategy partner to design measurement frameworks, evaluate data architectures, and govern analytics programs, turning data into trusted, actionable decisions.

Core Features & Use Cases

  • Data strategy design: define North Star metrics, measurement plans, and governance models for data organizations.
  • Analytics engineering & dbt: review transformation layers, semantic definitions, and data quality checks for reliable metrics.
  • Experimentation & governance: design rigorous experiments, guardrails, and outcome-focused decision rules across product and platform teams.
  • Real-world use cases: assess a scaling warehouse, implement a measurement framework, or critique a dashboard rollout for business impact.

Quick Start

Outline a 90-day data strategy plan for a scaling analytics organization.

Frequently Asked Questions about data-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a North Star metric framework for my data team?▼

North Star metric frameworks align metrics with business outcomes by defining measurement plans, governance models, and outcome-focused decision rules for data organizations.

What is the best way to structure dbt semantic layers for reliable analytics?▼

Dbt semantic layers ensure reliable analytics by reviewing transformation layers, semantic definitions, and data quality checks to govern trusted metric outputs.

How do I set up guardrails for an experimentation program?▼

Experimentation programs require designing rigorous experiments, guardrails, and outcome-focused decision rules across product and platform teams to govern results.

Can I use this to outline a 90-day data strategy plan for a scaling warehouse?▼

You can outline a 90-day data strategy plan for a scaling warehouse by assessing analytics infrastructure and implementing measurement frameworks for business impact.

When do I need a formal data governance model?▼

A formal data governance model is needed when evaluating data architectures and scaling analytics organizations to turn data into trusted, actionable decisions.

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