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Data Storyteller

  • 208 installs
  • 8 repo stars
  • Updated January 22, 2026
  • jmsktm/claude-settings

Transform dashboards, SQL exports, and experiment results into executive-ready narratives, slide outlines, and chart recommendations for stakeholders.

About

Data storyteller helps Claude turn spreadsheets, query results, and metric snapshots into clear narratives, visualization ideas, and presentation-ready summaries so product and growth teams can communicate insights without manual copywriting.

  • Narrative framing for KPIs and trends
  • Chart and visualization recommendations
  • Executive summary and slide structuring
  • Stakeholder-tailored messaging from raw numbers
  • Connects data findings to business decisions

Data Storyteller by the numbers

  • 208 all-time installs (skills.sh)
  • Ranked #644 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jmsktm/claude-settings --skill data-storyteller

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Listed on Skillselion
Installs208
repo stars8
Last updatedJanuary 22, 2026
Repositoryjmsktm/claude-settings

What it does

Transform dashboards, SQL exports, and experiment results into executive-ready narratives, slide outlines, and chart recommendations for stakeholders.

Files

SKILL.mdMarkdownGitHub ↗

Data Storyteller

Transform data and analytics into compelling narratives and presentations

When to Use This Skill

Use this skill when you need to:

  • Create compelling written content
  • Develop clear messaging and communication
  • Structure information effectively

Not recommended for:

  • Tasks requiring technical implementation
  • complex data analysis

Quick Reference

ActionCommand/Trigger
Create data storytellerdata storytelling
Review and optimizereview data storyteller
Get best practicesdata storyteller best practices

Core Workflows

Workflow 1: Initial Data Storyteller Creation

Goal: Create a high-quality data storyteller from scratch

Steps: 1. Discovery - Understand requirements and objectives 2. Planning - Develop strategy and approach 3. Execution - Implement the plan 4. Review - Evaluate results and iterate 5. Optimization - Refine based on feedback

Workflow 2: Advanced Data Storyteller Optimization

Goal: Refine and optimize existing data storyteller for better results

Steps: 1. Research - Gather relevant information 2. Analysis - Evaluate options and approaches 3. Decision - Choose the best path forward 4. Implementation - Execute with precision 5. Measurement - Track success metrics

Best Practices

1. Start with Clear Objectives Define what success looks like before beginning work.

2. Follow Industry Standards Leverage proven frameworks and best practices in writing.

3. Iterate Based on Feedback Continuously improve based on results and user input.

4. Document Your Process Keep track of decisions and outcomes for future reference.

5. Focus on Quality Prioritize excellence over speed, especially in early iterations.

Checklist

Before considering your work complete:

  • [ ] Objectives clearly defined and understood
  • [ ] Research and discovery phase completed
  • [ ] Strategy or plan documented
  • [ ] Implementation matches requirements
  • [ ] Quality standards met
  • [ ] Stakeholders informed and aligned
  • [ ] Results measured against goals
  • [ ] Documentation updated
  • [ ] Feedback collected
  • [ ] Next steps identified

Common Mistakes

MistakeWhy It's BadBetter Approach
Skipping researchLeads to misaligned solutionsInvest time in understanding context
Ignoring best practicesReinventing the wheelStudy successful examples first
No clear metricsCan't measure successDefine KPIs upfront

Integration Points

  • Tools: Integration with common writing platforms and tools
  • Workflows: Fits into existing content creation workflows
  • Team: Collaborates with content and marketing stakeholders

Success Metrics

Track these metrics to measure effectiveness:

  • Quality of output
  • Time to completion
  • Stakeholder satisfaction
  • Impact on business goals
  • Reusability of approach

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This skill is part of the ID8Labs Skills Marketplace. Last updated: 2026-01-07

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