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architecting-data

architecting-data is a skill for Claude Code from ancoleman/ai-design-components. It costs 81 tokens per session (3,452 once invoked), scanned A, original, MIT.

Guidance for designing data platforms: systems that store, organize, govern, and serve data for analysis. It compares data lakes, warehouses, lakehouses, data models, data mesh, and layered storage designs.

In plain words
What is it for?
Use it when creating or modernizing a data platform, selecting a storage approach or table format, choosing a data model, or planning governance and cataloguing.
Why use it?
It helps choose how data should be stored and structured as requirements, sources, governance needs, and scale change.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the data-engineering-skills plugin — 6 skills shipped together

not rated 527repo +1 11mo ago A scan 81 tokens original MIT

Good fit Use it when creating or modernizing a data platform, selecting a storage approach or table format, choosing a data model, or planning governance and cataloguing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ancoleman/ai-design-components/architecting-data
View source ↗ ancoleman/ai-design-components
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ancoleman/ai-design-components --skill architecting-data
Clone the repo
git clone --depth 1 https://github.com/ancoleman/ai-design-components

Made for: Claude Code.

Or install data-engineering-skills, the plugin that ships this one along with the rest of its 6 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for architecting-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/ancoleman/ai-design-components/architecting-data/github.svg)](https://agentmods.dev/skills/ancoleman/ai-design-components/architecting-data)
Your own site
<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/architecting-data"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/architecting-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for architecting-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/architecting-data"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/architecting-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,452 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.03452
Opus 5.5 $0.00032 $0.01381
Sonnet 5.5 $0.00016 $0.00690
Haiku 4.5 $0.00008 $0.00345

Measured 2mo ago against content hash ae7daf6ee248, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

architecting-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/architecting-data/SKILL.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Architecture

Purpose

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

When to Use This Skill

Invoke this skill when:

  • 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:

Data Lake: Centralized repository for raw data at scale

  • Schema-on-read, cost-optimized ($0.02-0.03/GB/month)
  • Use when: Diverse data sources, exploratory analytics, ML/AI training data

Data Warehouse: Structured repository optimized for BI

  • Schema-on-write, ACID transactions, fast queries
  • Use when: Known BI requirements, strong governance needed

Data Lakehouse: Hybrid combining lake flexibility with warehouse reliability

  • Open table formats (Iceberg, Delta Lake), ACID on object storage
  • Use when: Mixed BI + ML workloads, cost optimization (60-80% cheaper than warehouse)

Decision Framework:

  • BI/Reporting only + Known queries → Data Warehouse
  • ML/AI primary + Raw data needed → Data Lake or Lakehouse
  • Mixed BI + ML + Cost optimization → Data Lakehouse (recommended)
  • Exploratory/Unknown use cases → Data Lake

For detailed comparison, see references/storage-paradigms.md.

2. Data Modeling Approaches

Four primary modeling patterns:

Dimensional (Kimball): Star/snowflake schemas for BI

  • Use when: Known query patterns, BI dashboards, trend analysis

Normalized (3NF): Eliminate redundancy for transactional systems

  • Use when: OLTP systems, frequent updates, strong consistency

Read the full file on GitHub · 399 lines

Files

What ships with it

13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 399 lines · 81 tokens per session scan A ae7daf6ee248

Subscribe to this mod's changes

architecting-data is a skill published in the GitHub repository ancoleman/ai-design-components (527 stars, last pushed 11mo ago), licensed MIT. It adds 81 tokens to every session and 3,452 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeData and AIDatabasesai-designanthropicclaudeclaude-skillsdesign-system
Related

architecting-data compared with skills from other repositories

architecting-data next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
architecting-dataancoleman/ai-design-componentsSkill52711mo agoMITA81Claude Code
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couchbase-ai-applicationscelticht32/Couchbase-Skills-for-Claude.aiSkill44mo agoMITA202Claude Code, Codex
couchbase-ftscelticht32/Couchbase-Skills-for-Claude.aiSkill44mo agoMITA208Claude Code, Codex
chromaNousResearch/hermes-agentSkill261kyesterdayMITA12Claude Code, Codex
rag-qdrantdavila7/claude-code-templatesSkill33kyesterdayMITA45Claude Code, Codex
rag-pineconedavila7/claude-code-templatesSkill33kyesterdayMITA65Claude Code, Codex