Data Presentation

---
name: data-presentation
description: Turn data into compelling narratives + effective dashboards. Use when presenting analytics to stakeholders, designing KPI dashboards, structuring an executive summary around metrics, building data visualizations, or implementing real-time monitoring patterns.
---

# Data Presentation

Two complementary skills for taking raw data to the audience: storytelling for the narrative arc, dashboards for the always-on view.

## When to load which reference

| Working on | Read |
|---|---|
| One-off presentation/report — building the narrative, choosing the right viz, contextualizing numbers | [references/data-storytelling.md](references/data-storytelling.md) |
| Always-on dashboards — metric selection, layout, real-time patterns, role-based views | [references/kpi-dashboard-design.md](references/kpi-dashboard-design.md) |

## Core distinction

- **Storytelling** answers "*what should this audience walk away believing?*" — argument first, viz supports it.
- **Dashboard** answers "*is the system healthy right now?*" — metric set, layout, visual scan, drill paths.

Don't confuse the two. A dashboard is not a story; a story is not a dashboard. Pick the mode that matches the audience's need.

For visual execution (typography, color, layout), see [anthropic/canvas-design](../../anthropic/canvas-design/SKILL.md) and [anthropic/frontend-design](../../anthropic/frontend-design/SKILL.md).