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/datasource

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Document data sources for AI.

Data & Analytics#documentation#schema#metadata#data catalog#data governance#data source
AuthorDavidROliverBA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of documenting data sources, ensuring that critical information about databases, tables, APIs, and datasets is captured and made accessible for AI-driven analysis and integration.

Core Features & Use Cases

  • Structured Data Source Documentation: Captures essential details like data type, record count, volume, refresh frequency, and classification.
  • System Linking: Automatically links data sources to their owning systems and identifies consumers.
  • Data Quality & Schema Capture: Includes fields for data quality metrics and key schema information.
  • Use Case: When a new data table is created in Snowflake, use this Skill to quickly document its purpose, schema, and how it's accessed by other systems, making it discoverable for AI assistants.

Quick Start

Use the /datasource skill to document a new data source named "Customer Orders" from the "E-commerce Platform" system.

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: /datasource
Download link: https://github.com/DavidROliverBA/ArchitectKB/archive/main.zip#datasource

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