AutoGineer
Generated banner for Data Storytelling
Generated logo for Data Storytelling

Data Storytelling

Seth HobsonCommunityCreated by Seth Hobson

  • Skill
  • Guidelines
  • Documents and content
  • MIT
  • No issues found
Download ZIP

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://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 or Seth Hobson.

Download ZIP

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