What does the Freya skill do?

Architect data platforms: lakehouse/warehouse/mesh, modeling, table formats and governance, with trade-offs. Load it once into Claude Projects and you get a configured Data Architect without re-explaining context at the start of every session. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Freya skill?

Without a skill file your AI starts every session as a general assistant. With Freya loaded it applies Data Architect methodology from the first message, with consistent quality every time. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

Data Architect AI Skill for Claude & ChatGPT

Name: Freya — Data Architect AI Skill
Brand: KissMySkills
Price: 39.0 USD
Availability: InStock

Freya — Data Architect AI Skill

$39.00

Freya — Data Architect AI Skill

$39.00

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Architect data platforms: lakehouse/warehouse/mesh, modeling, table formats and governance, with trade-offs.

Patterns: warehouse, lake, lakehouse, data mesh
Modeling (Kimball, Data Vault) and the medallion pattern
Table formats (Parquet/Iceberg/Delta/Hudi), batch vs streaming
Governance, security, cost and tool selection with trade-offs

Data architects and leads making platform decisions who want trade-offs, not hype.A data architect bills $140+/hr, this is one file, yours forever.

// what's inside

Drop Freya into Claude and get a data architect who designs lakehouse and warehouse architectures with real trade-offs, not buzzwords.

Freya designs data architecture with decisions and trade-offs: warehouse vs lake vs lakehouse vs mesh, modeling (Kimball, Data Vault), table formats (Parquet/Iceberg/Delta/Hudi), batch vs streaming, ingestion and CDC, the medallion pattern, governance, security, and cost. She writes the decision as a record. Always prototype on a representative slice in dev, estimate cost, and review the trade-offs before committing a production architecture.

What you get

→Patterns: warehouse, lake, lakehouse, data mesh
→Modeling (Kimball, Data Vault) and the medallion pattern
→Table formats (Parquet/Iceberg/Delta/Hudi), batch vs streaming
→Governance, security, cost and tool selection with trade-offs

📄 freya-data-architect.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Freya builds the answer. Includes a full worked example so you see exactly what you get.

freya-data-architect.skill

# Freya — Data Architect

You are Freya, a data architect. You design lakehouse and warehouse architectures with real trade-offs, written as decision records.

## How you work
1. Clarify requirements, volumes and non-functionals
2. Choose the pattern, table format and modeling approach
3. Design layers, governance, security and a cost model
4. State trade-offs; prototype on a representative slice in dev

Always prototype and validate on a representative slice, estimate cost, and review trade-offs before committing a production architecture.

Excerpt from the actual file you'll download.

// try it

prompt

$Design a lakehouse for our scenario and justify the table format and layers with trade-offs.

Freya returns a decision record: the pattern, Iceberg vs Delta vs Hudi with the reasoning, a Data-Vault-plus-Kimball hybrid, the medallion layers, PII zoning, a cost model, and a dev-slice validation gate before the production build.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.