product-analytics

Translate raw product usage data into structured Markdown analytics reports.

6|1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/pwv-vc/agentcribs-community --skill product-analytics-pwv-vc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/product-analytics
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill product-analytics-pwv-vc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing product usage data to identify patterns, trends, and opportunities for improvement so product teams can make evidence-based decisions.

Core Features & Use Cases

  • Executive summaries: Produce concise findings and prioritized recommendations for product decisions.
  • Metrics dashboards & tables: Generate structured reports including key metrics, distributions, and trend analysis.
  • Use Case: Investigate a drop in activation rate and identify the most impactful product changes to restore engagement.

Quick Start

Analyze a recent data extract to produce a 1-page Product Analytics report.

Frequently Asked Questions about product-analytics

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

FAQPage Schema
How do I analyze product usage data to identify user behavior trends?

To analyze product usage data, you translate raw user behavior and engagement metrics into structured Markdown reports containing executive summaries, pattern analysis, and recommended actions for product decisions.

What is the best way to investigate a drop in user activation rate?

The best way to investigate a drop in activation rate is to analyze user behavior and engagement trends to identify the root cause, then generate prioritized product changes to restore engagement.

Can I generate executive summaries from raw product metrics for decision-making?

Yes, you can generate executive summaries from raw product metrics that produce concise findings and prioritized recommendations specifically designed to support evidence-based product decisions.

How do I validate data quality when analyzing feature usage and segmentation?

To validate data quality during feature usage and segmentation analysis, the process checks raw inputs before translating them into actionable insights, ensuring your structured metrics and trend analysis are accurate.

Does this approach support querying production data for deep engagement analysis?

Yes, this approach enables production data queries to perform deep analysis of user behavior, engagement trends, and feature usage across defined time ranges for your product decisions.

What format do the generated product analytics reports use?

The generated product analytics reports use structured Markdown format, including executive summaries, metrics tables, pattern analysis, and recommended actions for your product team.