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Transform data into compelling narratives with effective chart selection, annotation, and insight framing.
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SKILL.md
1---2name: data-storytelling3description: Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.4---56# Data Storytelling78Transform raw data into compelling narratives that drive decisions and inspire action.910## When to Use This Skill1112- Presenting analytics to executives13- Creating quarterly business reviews14- Building investor presentations15- Writing data-driven reports16- Communicating insights to non-technical audiences17- Making recommendations based on data1819## Core Concepts2021### 1. Story Structure2223```24Setup → Conflict → Resolution2526Setup: Context and baseline27Conflict: The problem or opportunity28Resolution: Insights and recommendations29```3031### 2. Narrative Arc3233```341. Hook: Grab attention with surprising insight352. Context: Establish the baseline363. Rising Action: Build through data points374. Climax: The key insight385. Resolution: Recommendations396. Call to Action: Next steps40```4142### 3. Three Pillars4344| Pillar | Purpose | Components |45| ------------- | -------- | -------------------------------- |46| **Data** | Evidence | Numbers, trends, comparisons |47| **Narrative** | Meaning | Context, causation, implications |48| **Visuals** | Clarity | Charts, diagrams, highlights |4950## Detailed patterns and worked examples5152Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.5354## Best Practices5556### Do's5758- **Start with the "so what"** - Lead with insight59- **Use the rule of three** - Three points, three comparisons60- **Show, don't tell** - Let data speak61- **Make it personal** - Connect to audience goals62- **End with action** - Clear next steps6364### Don'ts6566- **Don't data dump** - Curate ruthlessly67- **Don't bury the insight** - Front-load key findings68- **Don't use jargon** - Match audience vocabulary69- **Don't show methodology first** - Context, then method70- **Don't forget the narrative** - Numbers need meaning71