Can this skill help with data visualization?

Yes, it provides specific techniques for progressive reveals, contrast-based charting, and Python-based annotation examples to improve visual clarity.

What is the Data Storytelling skill for Claude Code?

It is a specialized extension that helps Claude transform raw numbers into structured narratives using frameworks like 'Setup-Conflict-Resolution' to make data more persuasive for stakeholders.

How does it handle complex or noisy data?

The skill applies the 'rule of three' and specific curation techniques to front-load key findings and avoid the 'data dump' common in technical reporting.

Is this skill only for data scientists?

No, it is designed for anyone—including product managers and analysts—who needs to present analytics to non-technical audiences, executives, or investors.

Does it provide templates for business reviews?

Yes, it includes several templates for executive summaries, dashboard stories, and multi-slide presentation flows that focus on ROI and impact.

Data Storytelling

Name: Data Storytelling
Author: drgaciw

bydrgaciw

데이터 과학 및 ML

Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.

소개

The Data Storytelling skill empowers Claude to bridge the gap between complex data analysis and actionable business insights by applying proven narrative structures. It provides specialized guidance for creating executive presentations, quarterly reviews, and data-driven reports using frameworks like 'Problem-Solution' or 'Trend Story.' Whether you need to visualize metrics with progressive reveals or write headlines that capture stakeholder attention, this skill ensures your analytics drive decisions rather than just providing numbers.

주요 기능

Multi-framework narrative structures including Problem-Solution and Comparison models
Persuasive writing guidance for high-impact headlines and narrative transitions
0 GitHub stars
Best practices for communicating data uncertainty and statistical significance
Advanced visualization techniques for progressive reveals and data annotations
Executive-ready templates for QBRs, investor decks, and one-page dashboards

사용 사례

Building investor-ready data presentations with clear calls to action
Preparing Quarterly Business Reviews (QBRs) for executive leadership
Communicating complex technical metrics to non-technical stakeholders

소개

주요 기능

Multi-framework narrative structures including Problem-Solution and Comparison models
Persuasive writing guidance for high-impact headlines and narrative transitions
0 GitHub stars
Best practices for communicating data uncertainty and statistical significance
Advanced visualization techniques for progressive reveals and data annotations
Executive-ready templates for QBRs, investor decks, and one-page dashboards

사용 사례

Building investor-ready data presentations with clear calls to action
Preparing Quarterly Business Reviews (QBRs) for executive leadership
Communicating complex technical metrics to non-technical stakeholders