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dv-discover

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Propose pragmatic Data Vault models from sources.

Data & Analytics#analyze#data-vault#source-profiling#model-proposal#ddd-context#hubs-links-satellites
AuthorPatrickCuba
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Analyze one or more source descriptions (DDL, table with columns, CSV headers, or plain-language narratives) and propose a Pragmatic Data Vault model (hubs, links, satellites) that captures business keys and relationships.

Core Features & Use Cases

  • Analyzes input formats (DDL, headers, descriptions) to surface candidate hubs, links, and satellites
  • Spawns Source Profiler and Pattern Recommender subagents to map domain concepts, context, and loading patterns
  • Outputs a structured vault model proposal including hubs, links, satellites, and open questions for governance and confirmation
  • Use cases include rapid vault scoping for new source systems, vendor integrations, and descriptive-to-model transformations

Quick Start

Describe your source data (DDL, headers, or plain language) and request a Pragmatic Data Vault model.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dv-discover
Download link: https://github.com/PatrickCuba/the_data_must_flow/archive/main.zip#dv-discover

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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