
Data Storytelling
FreeTransform data into compelling narratives for impactful decisions.
Free · Opens the source repo
What Data Storytelling does
The Data Storytelling skill enables users to convert raw data into engaging narratives that can effectively influence decision-making and inspire action. This skill is particularly useful for professionals who need to present analytics to stakeholders, create business reports, or build presentations that resonate with non-technical audiences. By focusing on the structure and flow of the narrative, users can enhance their communication of complex data insights.
At the core of this skill are three essential components: data, narrative, and visuals. The data serves as the evidence, providing numbers and trends that support the story. The narrative adds meaning by contextualizing the data, explaining causation, and highlighting implications. Finally, visuals enhance clarity, using charts and diagrams to make the information more accessible. This triad ensures that the insights are not only understood but also retained by the audience.
The skill outlines a structured approach to storytelling with data, emphasizing key concepts such as the narrative arc and best practices. Users learn to start with a compelling hook, build context, and lead to a climax that reveals the key insight. The skill also advises on effective communication techniques, such as avoiding jargon and ensuring that insights are front-loaded, making it easier for the audience to grasp the main points quickly.
Whether you are preparing a quarterly business review or crafting an investor presentation, this skill provides a framework to help you convey your data-driven insights in a way that is both engaging and persuasive. By following the outlined best practices, users can ensure their presentations are impactful and actionable, making this skill a valuable addition for anyone involved in data communication.
When to use it
Use this skill when you need to present analytics, create business reports, or communicate insights to stakeholders.
When not to use it
This skill may not be suitable for technical audiences who prefer detailed data analysis over narrative presentation.
What you can build with it
Quarterly Business Review
Use this skill to structure a compelling narrative that highlights key performance metrics and insights for your quarterly review.
Investor Presentation
Craft a persuasive presentation that clearly communicates your business's data-driven insights and recommendations to potential investors.
Data-Driven Reports
Create reports that not only present data but also tell a story, making it easier for stakeholders to understand and act on the insights.
How to install Data Storytelling
View source1. Install with the skills CLI
npx skills add wshobson/agents/data-storytelling --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by wshobsonData 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
Frequently asked questions about Data Storytelling
Similar skills
Business Pulse
Get a concise snapshot of your business health in one page.
Analytics Tracking
Set up and audit your analytics for actionable insights.
Ad Campaign Analyzer
Transform ad data into actionable insights for better ROI.
Metrics Review
Analyze product metrics for actionable insights.
Social Media Analyzer
Track and analyze your social media campaign performance.
Campaign Analytics
Optimize marketing campaigns with data-driven insights.
