view-metrics

Browse and present metric definitions from the active dataset's metric dictionary.

21|11|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill view-metrics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: view-metrics
Source: https://github.com/ai-analyst-lab/ai-analyst-plugin/tree/main/skills/view-metrics
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill view-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Metric Dictionary skill helps analysts quickly discover and understand dataset metrics by querying the active dataset's metric definitions, saving time compared to manual exploration.

Core Features & Use Cases

  • List metrics by category with quick summaries
  • View full metric definitions including formula, owner, direction, unit, granularity, source tables, and guardrails
  • Filter by category or search terms to locate relevant metrics across the active dataset

Quick Start

Ask me to list all metrics with /metrics to begin exploring your dataset metrics.

Frequently Asked Questions about view-metrics

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

FAQPage Schema
How do I browse and view dataset metric definitions quickly?

To browse metric definitions, you can query the active dataset's metric dictionary to retrieve full definitions from YAML files, including category, owner, direction, unit, granularity, source tables, and guardrails.

What is a metric dictionary and how does it help with analytics reporting?

A metric dictionary is an index of metric definitions stored in YAML files that helps analysts quickly discover and understand dataset metrics, saving time compared to manual exploration of the dataset.

Can I filter or search metrics by category across the active dataset?

Yes, you can filter metrics by category or search terms to locate relevant metrics across the active dataset. This allows you to list metrics by category with quick summaries for analysis workflows.

What metric attributes are included when viewing full metric definitions?

Full metric definitions include formula, owner, direction, unit, granularity, source tables, guardrails, and validation status, providing a comprehensive view of each metric in the dataset.

Do I need any dependencies or specific setup to list metrics with the metric dictionary?

No dependencies are required. The metric dictionary loads the active dataset's metric index and retrieves full definitions from YAML files natively, so you can start exploring metrics immediately.