Data Architecture

by ancoleman

Data Architecture is a Data skill for Claude Code, published by ancoleman in ai-design-components.

516 stars73 forkson ancoleman/ai-design-componentsAdded 2026/08/26+1% in starsRepository updated 2025/12/11

View source on GitHub Download repo ZIP

ai-designanthropicclaudeclaude-codeclaude-skillsdesign-systemfull-stackreactskillstypescriptui-components

Install in seconds

Install Data Architecture

Copy Data Architecture into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/ancoleman/ai-design-components/tree/main/skills/architecting-data ~/.claude/skills/architecting-data

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

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

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/architecting-data/SKILL.md in ancoleman/ai-design-components
Installs to: ~/.claude/skills/architecting-data
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Data Architecture does

Data Architecture guides decisions for modern data platforms, including storage patterns, modeling approaches, lakehouse formats, data mesh, medallion layers, and governance. Use it when designing or modernizing analytics platforms and choosing architecture tradeoffs.

Data Architecture is cataloged under Data on DirSkills. Data Architecture comes from a repository tagged ai-design, anthropic, claude, claude-code and claude-skills.

Documentation

README

Excerpt

Designing a new data platform or modernizing legacy systems
Choosing between data lake, data warehouse, or data lakehouse
Deciding on data modeling approaches (dimensional, normalized, data vault, wide tables)
Evaluating centralized vs data mesh architecture
Selecting open table formats (Apache Iceberg, Delta Lake, Apache Hudi)
Designing medallion architecture (bronze, silver, gold layers)
Implementing data governance and cataloging

Core Concepts

1. Storage Paradigms

Three primary patterns for analytical data storage:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Architecture

What else does ancoleman publish alongside Data Architecture?
Data Architecture is one of 25 skills that DirSkills catalogs from ancoleman/ai-design-components, the repository it ships in. Its siblings there include AI Chat Interface Components, AI Data Engineering and AWS Patterns. Each one is a separate skill with its own page in this directory, installs the same way Data Architecture does, and is maintained by ancoleman in that same repository. The rest of the collection is listed on the ancoleman/ai-design-components page.
How does Data Architecture compare to other Data skills?
Data Architecture ranks #601 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Architecture against them. Open each page to compare what they document and how they install.