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compare-datasets

Compare metrics and findings across connected datasets to detect shared or divergent patterns.

21|11|Updated Mar 15, 2026
Search Tags:#analytics#metrics#patterns#datasets#compare#cross-dataset
One-click install
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill compare-datasets
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compare-datasets
Source: https://github.com/ai-analyst-lab/ai-analyst-plugin/tree/main/skills/compare-datasets
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill compare-datasets

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify cross-dataset patterns and inconsistencies by comparing metrics and findings across two or more connected datasets, enabling broader insights and governance.

Core Features & Use Cases

  • Cross-dataset comparisons: compare metrics and findings across all connected datasets to surface consistent trends.
  • Metric alignment checks: detect when metrics are defined or calculated differently across datasets.
  • Cross-dataset pattern discovery: surface patterns that only emerge when datasets are analyzed together.
  • Use Case: verify whether a campaign effect holds across product lines or regions by comparing datasets side by side.

Quick Start

Ask me to compare two connected datasets or specify the dataset IDs to compare.

Frequently Asked Questions about compare-datasets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare metrics across multiple datasets to find shared patterns?▼

To compare metrics across multiple datasets, align metric definitions and load metric dictionaries per dataset to detect shared versus divergent metrics, surfacing cross-dataset patterns for broader insights and data governance.

What are cross-dataset patterns and when do I need to analyze them?▼

Cross-dataset patterns are shared or divergent trends that only emerge when analyzing multiple connected datasets together. You need this to verify whether a specific effect holds across different product lines or regions.

Can I check if metrics are calculated differently across connected datasets?▼

Yes, you can perform metric alignment checks to detect when metrics are defined or calculated differently across connected datasets, ensuring consistency and validating findings for governance purposes.

How do I validate consistency across two or more connected datasets?▼

Validate consistency by comparing metrics and findings side by side across connected datasets. This generates cross-dataset observations that highlight consistent trends and inconsistencies for governance.

Do I need to specify dataset IDs to compare datasets?▼

You can simply ask to compare two connected datasets or specify the exact dataset IDs you want to compare. The tool handles aligning metric definitions and generating observations automatically.

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