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metric-spec

Define metrics with a standardized template and register them to the Knowledge System.

16|7|Updated Apr 1, 2026
Search Tags:#template#documentation#spec#definition#metric#knowledge-system
One-click install
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill metric-spec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metric-spec
Source: https://github.com/ai-analyst-lab/ai-analyst-plus/tree/main/.claude/skills/metric-spec
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill metric-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Metrics are often ambiguous, leading to misinterpretation and inconsistent analyses; this skill provides a standardized template to ensure every metric is clearly defined and understood by all stakeholders.

Core Features & Use Cases

  • Provides a complete Metric Spec Template covering name, definition, data sources, segmentation, thresholds, and limitations.
  • Enables registration to the Knowledge System for discoverability and reuse across analyses.
  • Supports onboarding of new teammates by giving a single canonical reference for each metric.

Quick Start

Define a metric spec for a new metric using the Metric Spec Template and register it to the Knowledge System.

Frequently Asked Questions about metric-spec

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

FAQPage Schema
How do I standardize metric definitions to stop teams from disagreeing on calculations?▼

A metric spec template resolves ambiguous metric definitions by standardizing the documentation of denominators, time windows, and exclusions, ensuring consistent interpretation and measurement across all stakeholder analyses.

What should be included in metric documentation to prevent inconsistent analyses?▼

Complete metric documentation requires capturing the metric name, definition, data-source references, segmentation options, thresholds, and limitations to eliminate ambiguity and prevent inconsistent downstream analyses.

When do I need to create a formal metric specification?▼

You need a formal metric specification whenever new metrics are created, existing metric definitions drift, or teams disagree on measurement criteria like denominators and time windows, ensuring consistent interpretation across analyses.

How do I register a new metric definition to a knowledge system for discoverability?▼

You register a new metric definition by completing the standardized Metric Spec Template and submitting it to the knowledge system, enabling discoverability, reuse across analyses, and seamless onboarding for new teammates.

Does this metric definition approach handle segmentation and data source references?▼

Yes, the metric specification approach explicitly handles segmentation options and data-source references, applying a standardized template that captures these dimensions alongside thresholds and limitations for every defined metric.

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