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data-storytelling

Convert raw analytics into stakeholder-ready narratives with defined story frameworks.

2|Updated May 20, 2026

Search Tags:#storytelling #data visualization #executive communication #report writing #narrative framework #business presentations

Ready to run

npx skills add https://github.com/Dianshu-Liao/SkilLGuard --skill data-storytelling-dianshu-liao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-storytelling
Source: https://github.com/Dianshu-Liao/SkilLGuard/tree/main/data/skills/data-storytelling
Command: npx skills add https://github.com/Dianshu-Liao/SkilLGuard --skill data-storytelling-dianshu-liao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you transform raw analytics into clear, decision-ready narratives that non-technical stakeholders can quickly understand and act on.

Core Features & Use Cases

Story-first data framing: structures insights using setups, conflicts, and resolutions so recommendations feel logical and compelling.
Narrative arc + executive delivery: converts findings into a readable progression (hook, context, rising action, key insight, resolution, call to action) suited for meetings and decks.
Reusable presentation templates: provides plug-in frameworks for executive summaries, data story flows, and one-page dashboard narratives (including headline, key metrics, root cause, recommendation, and next steps).

Quick Start

Use the data-storytelling skill to write an executive-ready narrative for your dataset by following the Setup → Conflict → Resolution structure.

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 into a persuasive executive presentation narrative?▼

To turn raw analytics into a persuasive executive presentation narrative, you frame insights using a Setup → Conflict → Resolution structure. This creates a logical progression with a hook, context, key insight, and a clear call to action for non-technical stakeholders.

What is the best way to structure a data story for quarterly business reviews?▼

The best way to structure a data story for quarterly business reviews is using a narrative arc framework. This approach converts raw findings into a readable progression featuring a hook, rising action, key insight, resolution, and a actionable next steps section.

How do I write a data-driven report writing framework for non-technical audiences?▼

You write a data-driven report framework for non-technical audiences by applying story-first data framing. This method structures analytical findings using setups, conflicts, and resolutions so recommendations feel compelling and drive immediate decisions.

Can I use narrative frameworks to build one-page dashboard narratives for investor updates?▼

Yes, you can use narrative frameworks to build one-page dashboard narratives for investor updates. The framework provides plug-in templates that organize dashboards with a headline, key metrics, root cause, recommendation, and next steps.

Does data storytelling work for stakeholder-ready narratives without technical dashboard components?▼

Data storytelling works for stakeholder-ready narratives without technical dashboard components by focusing on story-first framing. It structures insights into executive summaries and presentation-ready sections that drive decisions independently of visualization tools.

When should I not use a narrative arc for business presentations?▼

You should not use a narrative arc for business presentations when your audience requires unstructured raw data exploration rather than a decision-ready story. The framework prioritizes logical conflict-resolution progression over granular technical data delivery.