List and search metric definitions from a dataset's metric dictionary.
npx skills add https://github.com/Amar1404/AI_ANALYST --skill view-metrics-amar1404
Please help me install this Agent Skill. Skill: view-metrics Source: https://github.com/Amar1404/AI_ANALYST/tree/main/skills/view-metrics Command: npx skills add https://github.com/Amar1404/AI_ANALYST --skill view-metrics-amar1404
This Skill simplifies the process of browsing, searching, and displaying metric definitions from your active dataset's metric dictionary, allowing for quick access to how metrics are defined, computed, and validated.
Type /metrics to list all metrics for the active dataset.
High-intent search queries and answers about installing and using this skill.
You can view metric definitions by accessing the dataset's metric dictionary to see how metrics are computed and validated before using them in analysis.
A metric dictionary stores definitions for metrics in a dataset, allowing you to browse, search, and verify computation logic before applying metrics to data exploration.
You can search for specific metrics by filtering the metric dictionary based on metric name, description, or category to quickly locate relevant definitions.
Yes, you need knowledge of the dataset's structure and metric schema to effectively browse and interpret how metrics are defined and validated.
The best way to list all available metrics is to query the active dataset's metric dictionary, which displays every metric and its corresponding definition.
Verifying a metric's definition before computing it ensures you understand the computation and validation rules, preventing errors during data analysis.
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