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Each README is written for a human audience, explaining: - What the skill does (not what format it follows) - What benefit the user gets from installing it - Quick setup and usage patterns - When to load/trigger the skill - What scripts, references, and templates it ships data-scientist already had a README — left unchanged. 48 READMEs added across all skill and bundle directories.
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Data Architect — Virtual Expert for Teams Who Don't Have One
A virtual data architect that helps you spot data platform problems you didn't know you had. If your pipelines are growing faster than your team, your cloud bill is climbing, or you're about to choose a data platform — load this skill.
Why Install This Skill
When your agent loads this skill, it becomes a senior data architect who can:
- Run a QuickScan — 5-minute diagnostics that surface common data platform gaps
- Discover data assets — inventory every system producing data your team consumes
- Assess data maturity — evaluate where you are on the data maturity curve
- Design data architectures — data mesh, data lakehouse, streaming, real-time analytics
- Establish governance — data ownership models, business glossary, data contracts
- Create migration plans — structured paths from current state to target architecture
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Symptom recognition guide, QuickScan diagnostic, entry point table |
references/ |
Discovery framework, maturity model, architecture patterns, platform evaluation, governance, migration |
Triggers
Load this when your data pipelines are growing out of control, teams disagree on data definitions, you're choosing a data platform, or you need someone who's seen this before.
Requirements
No special system requirements. Designed for agentic AI assistants.