data-and-metrics

Name: data-and-metrics
Availability: InStock
Author: Propane

Generate data briefs by defining metrics and extracting insights from data sources.

4|2|Updated Feb 2, 2026

Search Tags:#analytics #metrics #data #insights #founder #brief

Ready to run

npx skills add https://github.com/propane-ai/kits --skill data-and-metrics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-and-metrics
Source: https://github.com/propane-ai/kits/tree/main/plugins/Founder/skills/data-and-metrics
Command: npx skills add https://github.com/propane-ai/kits --skill data-and-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps founders quickly understand their business data by defining metrics, identifying insights, and summarizing trends from various data sources.

Core Features & Use Cases

Metric Definition: Clearly defines key business metrics and their sources.
Insight Generation: Extracts 3-5 key findings with supporting numbers.
Trend Analysis: Compares performance over periods or segments.
Use Case: A founder needs to understand user activation for the last quarter. This Skill can define "activation rate," pull data (if connected), identify key drivers, and present trends and caveats.

Quick Start

Use the data-and-metrics skill to create a data brief on user retention for the last month.

Frequently Asked Questions about data-and-metrics

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

FAQPage Schema

How do I generate an ad-hoc data brief for business performance metrics?▼

Generate an ad-hoc data brief by defining specific metrics, dimensions, and extracting insights from available data sources. This structured data analysis helps founders quickly understand business performance trends and key drivers.

What is the best way to analyze user activation trends for the last quarter?▼

Analyze user activation trends by defining the activation rate metric, pulling data from connected sources, and extracting key findings with supporting numbers. This provides a summary of performance trends and caveats over the period.

Do I need to define metrics and data sources before generating insights?▼

Yes, you must provide clear definitions of metrics and their data sources for accurate reporting. Defining these dimensions upfront ensures the generated data brief extracts reliable insights and identifies correct performance drivers.

Can I compare business performance over different periods or segments?▼

Yes, you can compare business performance over different periods or segments. The brief identifies trends by extracting three to five key findings with supporting numbers to highlight performance shifts across the defined dimensions.

What are the limitations of using ad-hoc data briefs for trend analysis?▼

Ad-hoc data briefs require clearly defined metrics and connected data sources to function accurately. Without properly structured dimensions and available data, the generated insights and trend summaries may lack the necessary supporting numbers.