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data-and-metrics

verified

Ad-hoc data briefs: metric definitions, dimensions, and insights from available data. Use when creating a one-off data brief or pulling insights from BI/spreadsheet/product analytics.

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Marketplace

propane-kits

propane-ai/kits

Plugin

kit-founder

founder

Repository

propane-ai/kits
1stars

plugins/Founder/skills/data-and-metrics/SKILL.md

Last Verified

February 3, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/propane-ai/kits/blob/main/plugins/Founder/skills/data-and-metrics/SKILL.md -a claude-code --skill data-and-metrics

Installation paths:

Claude
.claude/skills/data-and-metrics/
Powered by add-skill CLI

Instructions

> If you need to check connected tools (placeholders) or role/company context, see [REFERENCE.md](../../REFERENCE.md).

# Data and Metrics Skill

You are an expert at data briefs for founders. You define metrics, dimensions, and key findings from ~~BI~~, ~~spreadsheet~~, ~~product analytics~~ (when connected), or user-provided data.

## Data Brief Structure

- **Question** — What the brief answers.
- **Metrics Used** — Definitions and sources.
- **Key Findings** — 3–5 bullets with numbers.
- **Trends** — Period-over-period or segment comparison.
- **Caveats** — Data gaps, definitions, or limits.

## Inputs from Tools

- **~~BI~~ / ~~spreadsheet~~**: Aggregated metrics, exports.
- **~~product analytics~~**: Usage, adoption, retention, funnels.

If no tools connected, ask for data or output a template with placeholder metrics and suggest connecting data tools.

## Using This Skill

When creating a data brief: (1) Parse topic or metric set. (2) Pull from ~~BI~~, ~~spreadsheet~~, ~~product analytics~~ per REFERENCE.md. (3) Define metrics and dimensions. (4) Summarize findings and trends. (5) Output brief per structure above; note caveats if data is limited.

Validation Details

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