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jerelvelarde
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analyze-metrics

Analyze product metrics against targets and generate a structured metrics review file.

6|Updated Feb 19, 2026
Search Tags:#metrics#data-analysis#analyze#kpis#cohorts#product-health
One-click install
npx skills add https://github.com/jerelvelarde/chalk-skills --skill analyze-metrics-jerelvelarde
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-metrics
Source: https://github.com/jerelvelarde/chalk-skills/tree/main/skills/analyze-metrics
Command: npx skills add https://github.com/jerelvelarde/chalk-skills --skill analyze-metrics-jerelvelarde

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze product metrics by identifying trends, evaluating targets, and generating testable hypotheses to drive smarter decisions.

Core Features & Use Cases

  • Read and contextualize metrics from project docs, cohorts, and time windows.
  • Classify metrics by type, category, and comparison basis; assess current vs target; identify trends and cohorts; propose hypotheses and actions.
  • Use cases include reviewing KPIs for a feature launch, diagnosing metric anomalies, and planning experiments.

Quick Start

Analyze the latest retention and engagement metrics for the current sprint and output a concise health summary.

Frequently Asked Questions about analyze-metrics

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

FAQPage Schema
How do I analyze product metrics to identify trends and compare against targets?▼

Product metric analysis involves reading project data, classifying KPIs by acquisition and retention categories, comparing current values against targets, and surfacing testable hypotheses for smarter decisions.

Can I use cohort analysis to evaluate retention and engagement metrics for a sprint review?▼

Cohort analysis is supported by applying leading and lagging indicators across acquisition, activation, engagement, retention, and revenue metrics to evaluate product health and output a concise summary for sprint reviews.

What is the best way to diagnose metric anomalies and plan product experiments?▼

The best way to diagnose metric anomalies is to contextualize metrics from project docs, identify trend deviations from targets, and propose testable hypotheses and actions structured in a detailed metrics review file.

How do I generate a structured KPI health dashboard for a feature launch?▼

You generate a KPI health dashboard by classifying metrics by category and comparison basis, evaluating current performance against targets, and producing a markdown file containing a health dashboard and detailed review sections.

Does this metrics analysis approach work with leading and lagging indicators across the user lifecycle?▼

This metrics analysis approach explicitly works with leading and lagging indicators across acquisition, activation, engagement, retention, and revenue to surface actionable hypotheses regarding product health.

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