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ai-ready-data

Official

Confidently assess and fix AI data readiness.

Data & Analytics#rag#remediation#assessment#data-quality#snowflake#data-governance#ai-readiness
AuthorSnowflake-Labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Data teams often lack a standardized, measurable way to determine if their data infrastructure can reliably support AI workloads like RAG, agents, and feature serving. This Skill eliminates guesswork by providing a framework to score data readiness, identify gaps, and guide remediation across any data platform.

Core Features & Use Cases

  • Estate Scanning: Quickly sweep across schemas to prioritize which datasets need attention first.
  • Deep Assessment: Evaluate specific assets against workload profiles (RAG, agents, training, feature-serving) with measurable requirements.
  • Guided Remediation: Get platform-specific SQL fixes and organizational guidance for failing requirements, with approval checkpoints.

Quick Start

Use the ai-ready-data skill to scan your Snowflake database for AI readiness and show me the top three schemas that need improvement.

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: ai-ready-data
Download link: https://github.com/Snowflake-Labs/ai-ready-data/archive/main.zip#ai-ready-data

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