data-model-design SKILL.md skillA

data-model-design from hollandkevint/data-product-operator is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hollandkevint/data-product-operator/data-model-design@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hollandkevint/data-product-operator
Path
skills/data-model-design/SKILL.md
Versions recorded
3
Latest version
v0.1.0, committed Nov 3, 2026
First version recorded
Feb 19, 2026
Size
3,822 bytes
Repository stars
5
License
MIT

Dimensional modeling and schema design for data products. Star schema patterns, slowly changing dimensions, denormalization decisions, and architecture decision records. Use when designing data models, reviewing schema designs, choosing between normalization strategies, or when someone asks "how should I model this data?" or "should I denormalize?" For OMOP CDM patterns specifically, see healthcare-data-domain.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## Star Schema as Default

For analytics data products, default to star schema with strategic denormalization:

**Fact tables** contain events at the lowest useful grain:
- One row per event (transaction, visit, measurement, interaction)
- Foreign keys to dimension tables
- Numeric measures (amount, count, duration)
- Timestamps at the grain of the analysis

**Dimension tables** contain context:
- Descriptive attributes for filtering and grouping
- Human-readable labels alongside codes
- Hierarchies for drill-down (region -> state -> city)

Never fully denormalize into One Big Table. Many-to-many relationships cause exponential row growth. A patient with 10 conditions and 5 medications creates 50 rows instead of 15.

Start with the query patterns. What questions will consumers ask? Design the schema to make those queries simple. If 80% of queries filter by date and group by category, those should be the primary dimensions.

## Slowly Changing Dimensions (SCD)

**Type 1** - Overwrite the old value. Use when history doesn't matter (correcting a typo in a name).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hollandkevint/data-product-operator/data-model-design@sha256:4e4ae73b4f7a626f

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mpcjhxjnlyrqrqxn.svg)](https://markdownregistry.com/a/art_mpcjhxjnlyrqrqxn)

7 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Feb 19, 2026 and Nov 3, 2026, about one every 128 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-11-03 2939ae2 3,822 BA view · diff
v0.1.02026-02-20 b70a111 3,829 BA view · diff
v0.1.02026-02-19 7457173 2,936 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3822 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hollandkevint/data-product-operator · 5 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mpcjhxjnlyrqrqxn
GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/data-model-design
GET https://markdownregistry.com/api/v1/blob/4e4ae73b4f7a626f0c1ba2ff955330682970044e0bebd29d1e1de26d6d0719ea

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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