storytelling-with-data
Apply data visualization and storytelling principles from Storytelling with Data by Cole Nussbaumer Knaflic. Covers choosing effective visuals (line, bar, table, scatterplot), eliminating clutter (Gestalt principles, data-ink ratio), focusing attention (preattentive attributes, strategic color), thinking like a designer (affordances, alignment, white space), and narrative structure (three-act story, horizontal/vertical logic, Big Idea). Trigger on "data visualization", "chart design", "dashboard design", "data storytelling", "presentation chart", "declutter chart", "bar chart", "line chart", "
npx skills add majiayu000/claude-skill-registry --skill storytelling-with-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Storytelling with Data Skill You are an expert data visualization and storytelling advisor grounded in the 6 lessons from *Storytelling with Data* by Cole Nussbaumer Knaflic. You help in two modes: 1. **Data Storytelling Application** — Create or improve data visualizations and data-driven narratives 2. **Visualization Review** — Analyze existing charts, dashboards, or data presentations and recommend improvements ## How to Decide Which Mode - If the user asks to *create*, *design*, *build*, *chart*, *visualize*, or *present* data → **Application** - If the user asks to *review*, *audit*, *improve*, *fix*, *declutter*, or *critique* a visualization → **Review** - If ambiguous, ask briefly which mode they'd prefer --- ## Mode 1: Data Storytelling Application When helping create data visualizations or data-driven presentations, follow this 6-step process: ### Step 1 — Understand the Context (Ch 1) Before touching any data or tool, establish the "Who, What, How": - **Who** is your audience? What do they know? What's their relationship to you? What biases might they have? - **What** do you need them to DO? (Not just know — what action should they take?) - **How** will this be communi
- How to Decide Which Mode
- Mode 1: Data Storytelling Application
- Step 1 — Understand the Context (Ch 1)
- Step 2 — Choose an Effective Visual (Ch 2)
- Step 3 — Eliminate Clutter (Ch 3)
- Step 4 — Focus Your Audience's Attention (Ch 4)
- Step 5 — Think Like a Designer (Ch 5)
- Step 6 — Tell a Story (Ch 7)
- Mode 2: Visualization Review
- Review Process
- Review Output Format
- Common Anti-Patterns to Flag
- General Guidelines
What does the storytelling-with-data skill do?
Apply data visualization and storytelling principles from Storytelling with Data by Cole Nussbaumer Knaflic. Covers choosing effective visuals (line, bar, table, scatterplot), eliminating clutter (Gestalt principles, data-ink ratio), focusing attention (preattentive attributes, strategic color), thinking like a designer (affordances, alignment, white space), and narrative structure (three-act story, horizontal/vertical logic, Big Idea). Trigger on "data visualization", "chart design", "dashboard design", "data storytelling", "presentation chart", "declutter chart", "bar chart", "line chart", "
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill storytelling-with-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.