---
name: narrativa-de-datos
description: Transforma datos en narrativas persuasivas para presentaciones ejecutivas e informes de negocio. Aplica estructura de historia, arco narrativo y los tres pilares (dato, narrativa, visual) para comunicar insights a audiencias no técnicas.
license: MIT
metadata:
  id: 43ff24e4
  slug: narrativa-de-datos
  titulo: "Narrativa de Datos"
  servicio: Datos-Analisis
  categoria_recurso: Investigacion-Datos
  tipo: referencia
  nivel: intermedio
  idioma: es
  idioma_original: en
  acceso: gratis
  precio_eur: 0
  plataformas: [Claude Code, Codex CLI, OpenCode, Cursor, Gemini CLI]
  dependencias: []
  licencia: { spdx: MIT, redistribuible: true, uso_comercial: true }
  fuente:
    repo: wshobson/agents
    url: https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/data-storytelling
    commit: cc37bfd
    autor: wshobson
    nombre_original: data-storytelling
    duplicados_en: []
  seguridad: { veredicto: seguro, riesgo: bajo, escaneado: "2026-06-14", motor: "grep-estatico+auditor-llm" }
  ficha:
    que_hace: "Convierte datos crudos en presentaciones ejecutivas con estructura narrativa clara y orientada a la acción."
    como_lo_hace: "Aplica el arco Setup-Conflict-Resolution con hook, contexto, insight climático y llamada a la acción, combinando datos, narrativa y visuales."
  content_hash: "43ff24e4452e882474d383277f966c81977ccb6d54219f517cc37831037e7276"
  version: 1.0.0
---

# 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
- **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