data-storytelling
From wshobson
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
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- wshobson/agents
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- Actively maintained
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The instructions Claude Code reads when this skill runs.
# 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
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
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