
Data Storytelling
Transforms spreadsheets and analytics into executive-ready narratives using proven storytelling frameworks like problem-solution and trend analysis. Structures data presentations with setup-conflict-resolution arcs, provides annotation techniques for charts, and includes templates for board decks and stakeholder reports. Best for quarterly reviews, investor pitches, and convincing non-technical audiences to act on insights. The three-pillar approach (data, narrative, visuals) works well, though the frameworks can feel formulaic if you're naturally good at storytelling. Solid for anyone who stares at great data but struggles to make it compelling.
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- 12
- skills.sh installs
- 17.6K
- GitHub stars
- 42.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wshobson/agents --skill data-storytelling --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
| Pillar | Purpose | Components |
|---|---|---|
| Data | Evidence | Numbers, trends, comparisons |
| Narrative | Meaning | Context, causation, implications |
| Visuals | Clarity | Charts, diagrams, highlights |
Detailed patterns and worked examples
Sponsors
Details
- Repository
- github.com/wshobson/agents
- Categories
- Data Science & ML, Marketing & SEO
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