data-storytelling

Transform raw data into structured narratives with story frameworks and visual guidelines.

Updated Jan 14, 2026
One-click install
npx skills add https://github.com/joshkellett87/useful-skills --skill data-storytelling-joshkellett87
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-storytelling
Source: https://github.com/joshkellett87/useful-skills/tree/main/data-storytelling
Command: npx skills add https://github.com/joshkellett87/useful-skills --skill data-storytelling-joshkellett87

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform raw data into clear, persuasive narratives that inform decisions and align stakeholders.

Core Features & Use Cases

  • Story Structure: Setup → Conflict → Resolution to provide context and a decision-ready narrative.
  • Narrative Arc: Hook, Context, Rising Action, Climax, Resolution, and Call to Action to guide stakeholders through insights.
  • Three Pillars: Data (evidence), Narrative (meaning), Visuals (clarity) to produce coherent analyses and visuals.
  • Frameworks & Templates: Predefined story templates for Problem-Solution, Trend, and Market Comparison to accelerate storytelling.
  • Visualization Techniques: Guidance on chart types and annotations to clearly convey insights.
  • Real-world use: Present analytics to executives, quarterly reviews, investor decks, or data-driven reports.

Quick Start

Provide a data-driven narrative by selecting a framework and mapping data to a clear story for stakeholders.

Frequently Asked Questions about data-storytelling

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

FAQPage Schema
How do I turn raw analytics data into an executive-ready narrative?

To create an executive-ready narrative, structure your analytics data using a Setup → Conflict → Resolution framework. This provides context and a decision-ready story by mapping raw data to a clear narrative arc with visual guidelines.

What is the best way to structure a quarterly business review presentation?

The best way to structure a quarterly business review is using a narrative arc: Hook, Context, Rising Action, Climax, Resolution, and Call to Action. This guides stakeholders sequentially through data insights to a clear decision point.

How do I build data-driven investor presentations for non-technical audiences?

Build data-driven investor presentations by combining the three pillars of data, narrative, and visuals. This approach translates raw evidence into clear meaning, using predefined story templates like Problem-Solution to communicate insights effectively.

Can I use predefined story frameworks for market comparison presentations?

Yes, you can use predefined story frameworks specifically for market comparison presentations. These templates accelerate storytelling by providing structured narrative patterns alongside visualization techniques and chart annotations to convey insights clearly.

What visualization techniques should I use for executive presentations?

Use visualization techniques that enforce clarity through proper chart type selection and direct data annotations. These techniques ensure visuals support the narrative arc and effectively communicate insights to executives without overwhelming them.

When should I use a structured narrative arc instead of standard reporting?

Use a structured narrative arc instead of standard reporting when presenting analytics to executives, building investor decks, or communicating insights to non-technical audiences. It transforms raw data into persuasive narratives that drive decisions and align stakeholders.