What is the Data Storytelling skill for Claude Code?

It is a specialized capability that helps Claude transform raw numbers into structured, persuasive business narratives for stakeholders and executives.

Which business frameworks are included?

It provides standardized frameworks for Problem-Solution stories, Trend analysis, and Side-by-Side Market Comparisons to ensure clear communication.

Can this skill help with Python visualizations?

Yes, it includes techniques and code templates for annotated matplotlib charts, progressive data reveals, and contrast-based visualizations.

Is this suitable for non-technical audiences?

Absolutely; the skill is specifically designed to translate complex metrics into business value, using clear headlines and actionable insights that non-technical leaders can understand.

Data Storytelling & Analytics Narratives

Name: Data Storytelling & Analytics Narratives
Author: as4584

byas4584

Data Science & ML

Transforms raw data into persuasive narratives and visualizations for business stakeholders and executive presentations.

About

The Data Storytelling skill empowers Claude to bridge the gap between raw data analysis and strategic decision-making. By applying proven narrative frameworks—such as the Problem-Solution, Trend, and Comparison stories—this skill helps users structure complex insights into a compelling narrative arc (Hook, Context, Insight, and Action). It includes specialized templates for executive summaries, quarterly business reviews, and annotated visualizations, ensuring that technical findings are communicated with clear business implications and actionable recommendations for non-technical audiences.

Key Features

0 GitHub stars
Executive-ready presentation and dashboard templates
Guidelines for handling data uncertainty and statistical significance
Structured narrative frameworks (Problem-Solution, Trend, Comparison)
Persuasive headline generation and narrative arc construction
Advanced data visualization techniques and Python charting code

Use Cases

Preparing Quarterly Business Reviews (QBRs) and executive summaries
Building data-driven investor decks and market opportunity analyses
Communicating complex analytics findings to non-technical stakeholders

About

Key Features

0 GitHub stars
Executive-ready presentation and dashboard templates
Guidelines for handling data uncertainty and statistical significance
Structured narrative frameworks (Problem-Solution, Trend, Comparison)
Persuasive headline generation and narrative arc construction
Advanced data visualization techniques and Python charting code

Use Cases

Preparing Quarterly Business Reviews (QBRs) and executive summaries
Building data-driven investor decks and market opportunity analyses
Communicating complex analytics findings to non-technical stakeholders