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Data Storytelling

Seth HobsonCommunityCreated by Seth Hobson

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  • Guidelines
  • Documents and content
  • MIT
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From the author

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
— the description by Seth Hobson

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Data Storytelling provides a structured approach to communicating analytical insights. It moves beyond simple data reporting by integrating narrative arcs, clear visual hierarchies, and actionable recommendations. The skill emphasizes front-loading key insights, using the rule of three, and curating data to ensure the audience understands the 'so what' behind the numbers.

What it does

  • Provides story frameworks for problem-solving, trend analysis, and comparative decision-making.
  • Offers techniques for progressive data visualization to guide audience understanding.
  • Establishes best practices for structuring presentations and reports.
  • Defines the three pillars of effective communication: data, narrative, and visuals.
  • Includes patterns for highlighting key insights through annotation and contrast.

When to use it

  • When presenting complex analytics to non-technical stakeholders or executives.
  • When preparing quarterly business reviews or investor updates.
  • When you need to make a data-driven recommendation and require audience buy-in.
  • When writing reports where the goal is to inspire action rather than just inform.

Advantages

  • Reduces cognitive load by curating data and focusing on key insights.
  • Increases the persuasiveness of reports by connecting data to business outcomes.
  • Provides repeatable templates for common analytical scenarios.
  • Helps bridge the gap between technical analysis and executive decision-making.

Usage examples

“Help me structure a presentation about our declining Q3 retention rates.”
The agent will apply the Problem-Solution framework, helping you define the hook, context, and specific recommendations to reverse the churn trend.
“How should I visualize a comparison between two potential market expansion regions?”
The agent will suggest a weighted scoring matrix and contrast-based visualization to highlight why one region is a better strategic fit than the other.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/wshobson/data-storytelling/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip data-storytelling.zip -d .agents/skills

Documentation by Seth Hobson

Data Storytelling

Transform raw data into compelling narratives that drive decisions and inspire action.

When to Use This Skill

  • Presenting analytics to executives

  • Creating quarterly business reviews

  • Building investor presentations

  • Writing data-driven reports

  • Communicating insights to non-technical audiences

  • Making recommendations based on data

Core Concepts

1. Story Structure
Setup → Conflict → Resolution

Setup: Context and baseline
Conflict: The problem or opportunity
Resolution: Insights and recommendations
2. Narrative Arc
1. Hook: Grab attention with surprising insight
2. Context: Establish the baseline
3. Rising Action: Build through data points
4. Climax: The key insight
5. Resolution: Recommendations
6. Call to Action: Next steps
3. Three Pillars
PillarPurposeComponents
DataEvidenceNumbers, trends, comparisons
NarrativeMeaningContext, causation, implications
VisualsClarityCharts, diagrams, highlights

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

Do's

  • Start with the "so what" - Lead with insight

  • Use the rule of three - Three points, three comparisons

  • Show, don't tell - Let data speak

  • Make it personal - Connect to audience goals

  • End with action - Clear next steps

Don'ts

  • Don't data dump - Curate ruthlessly

  • Don't bury the insight - Front-load key findings

  • Don't use jargon - Match audience vocabulary

  • Don't show methodology first - Context, then method

  • Don't forget the narrative - Numbers need meaning

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Seth Hobson
Publisher
Seth Hobson (Community)
Source
wshobson/agents · plugins/business-analytics/skills/data-storytelling · commit 4bde316
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Seth Hobson.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download data-storytelling.zip