·architecting-data
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architecting-data

ancoleman/ai-design-components

Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.

11Installs·1Trend·@ancoleman

Installation

$npx skills add https://github.com/ancoleman/ai-design-components --skill architecting-data

SKILL.md

Guide architects and platform engineers through strategic data architecture decisions for modern cloud-native data platforms.

Data Lakehouse: Hybrid combining lake flexibility with warehouse reliability

Scoring: 24-30: Strong candidate | 18-23: Hybrid | 12-17: Build foundation first | 6-11: Centralized

Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks. Source: ancoleman/ai-design-components.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/ancoleman/ai-design-components --skill architecting-data
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is architecting-data?

Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks. Source: ancoleman/ai-design-components.

How do I install architecting-data?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ancoleman/ai-design-components --skill architecting-data Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/ancoleman/ai-design-components