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Snowflake-LabsSnowflake-LabsOfficial·1 Agent Skills Included

ai-ready-data

Score and fix data readiness for AI workloads

Assesses databases against 62 measurable requirements across six factors: clean, contextual, consumable, current, correlated, and compliant. Scans entire data estates to rank schemas by readiness, then runs deep checks for RAG, training, feature serving, and agent workloads. Eliminates manual data audits by scoring every requirement from 0 to 1 and guiding platform-specific remediation with approval-gated fixes.
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npx skills add Snowflake-Labs/ai-ready-data --all -g -y
Available:

Tells the agent which natural-language triggers activate this skill and routes it to the SKILL.md orchestration protocol for scanning, assessing, and remediating data.

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Snowflake-LabsSnowflake-Labs

ai-ready-data

Assess Snowflake data products for AI-readiness and generate remediation SQL.

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Frequently Asked Questions

FAQPage Schema
How to install ai-ready-data?▼

Run `npx skills add Snowflake-Labs/ai-ready-data --all -g -y` in your terminal to install the skill globally.

How to check if my data is ready for AI?▼

Ask your agent to assess your data for a workload like RAG or training. It runs SQL checks against 62 requirements and returns a scored pass/fail report.

Can I scan my whole data estate at once?▼

Yes. The scan profile sweeps every schema in a database with lightweight readiness checks and ranks them so you know where to focus first.

Which data platforms are supported?▼

Snowflake is fully supported today with platform-specific SQL checks, diagnostics, and fixes. The framework is open for contributions to add other platforms.

Does it fix data problems automatically?▼

It proposes platform-specific fixes for every failing requirement, but only executes them after your explicit approval, then re-runs checks to verify improvement.

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