visualization-choice-reporting

Select data visualizations and generate narrated reports with insights and recommendations.

142|20|Updated Oct 22, 2025
One-click install
npx skills add https://github.com/lyndonkl/claude --skill visualization-choice-reporting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: visualization-choice-reporting
Source: https://github.com/lyndonkl/claude/tree/main/skills/visualization-choice-reporting
Command: npx skills add https://github.com/lyndonkl/claude --skill visualization-choice-reporting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you select the most effective visualization for your data and question, and then guides you in creating a clear, narrated report that highlights key insights and actionable recommendations.

Core Features & Use Cases

  • Chart Selection: Matches your question type (trend, comparison, distribution, etc.) and data characteristics to the optimal chart family.
  • Design Best Practices: Applies principles of perceptual psychology and decluttering for clear, accurate, and accessible charts.
  • Narrative Generation: Structures insights into a compelling story with a headline, pattern description, context, meaning, and actionable next steps.
  • Use Case: You have sales data for the last quarter and need to present key trends and drivers to stakeholders. This Skill will help you choose the best chart (e.g., a line chart for trends, a bar chart for comparisons), design it effectively, and write a narrative that explains what the data means and what actions to take.

Quick Start

Use the visualization-choice-reporting skill to analyze sales data and create a report.

Frequently Asked Questions about visualization-choice-reporting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right chart for my data analysis report?

To choose the right chart for data analysis, match your question type—such as trend, comparison, or distribution—to the optimal chart family, ensuring your visual communication remains clear and accurate.

What is data storytelling and how does it improve dashboard design?

Data storytelling improves dashboard design by structuring insights into a compelling narrative with a headline, pattern description, context, and actionable recommendations, transforming raw metrics into meaningful communication.

How do I create a narrated report with actionable recommendations from raw data?

You create a narrated report by applying narrative frameworks to raw data, generating a structured story that highlights key insights, context, and actionable recommendations for business analytics.

Does this chart selection process support marketing analysis and financial reporting?

Yes, the chart selection process supports marketing analysis and financial reporting by evaluating data characteristics specific to these domains and applying design best practices for accurate visual communication.

What is the best way to apply design best practices for accessible data visualization?

The best way to apply design best practices for accessible data visualization is to follow perceptual psychology principles and decluttering techniques, ensuring your charts remain clear, accurate, and easily understood.