visualization-patterns

Apply Storytelling with Data design standards to charts in the AI Analyst plugin.

1|Updated May 15, 2026

Search Tags:#data visualization #chart design #data communication #SWD standards #graphical standards

Ready to run

npx skills add https://github.com/Amar1404/AI_ANALYST --skill visualization-patterns-amar1404

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: visualization-patterns
Source: https://github.com/Amar1404/AI_ANALYST/tree/main/skills/visualization-patterns
Command: npx skills add https://github.com/Amar1404/AI_ANALYST --skill visualization-patterns-amar1404

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures that charts generated within the AI Analyst plugin adhere to the Storytelling with Data (SWD) design standards, thereby maintaining a consistent, clear, and effective visual representation of data.

Core Features & Use Cases

SWD Design Standards Adherence: Charts automatically follow guidelines for colors, titles, annotations, and layout.
Automated Chart Handling: Core functionality is embedded within the ask-question, explore-data, and run-analysis skills, eliminating the need for separate invocation of visualization-patterns.
Use Case: When querying data, the visualization-patterns Skill will automatically apply the appropriate chart style and formatting without manual intervention.

Quick Start

Use the visualization-patterns skill within ask-question, explore-data, or run-analysis to generate a chart.

Frequently Asked Questions about visualization-patterns

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

FAQPage Schema

How do I apply Storytelling with Data standards to charts generated by an AI analyst?▼

To apply Storytelling with Data (SWD) standards to AI-generated charts, this Skill embeds SWD color palettes, title conventions, and annotation guidelines directly into the chart generation workflow. This ensures visual consistency and clarity without manual formatting.

What is the best way to ensure data visualization consistency across automated reports?▼

Ensuring data visualization consistency across automated reports requires enforcing graphical standards like SWD design principles. This Skill automatically applies standardized colors, titles, and layouts during chart generation to maintain a uniform visual representation of data.

Do I need to manually invoke visualization design standards when querying data?▼

You do not need to manually invoke visualization design standards when querying data. This Skill is embedded within the ask-question, explore-data, and run-analysis workflows, automatically applying appropriate chart styles and formatting without separate intervention.

Can I use SWD graphical standards for data communication within an AI analyst workflow?▼

Yes, you can use SWD graphical standards for data communication within an AI analyst workflow. The Skill integrates directly into existing data exploration and analysis processes to automatically enforce clear and effective chart design principles.

What chart formatting elements are controlled by SWD design standards?▼

SWD design standards control specific chart formatting elements including color palettes, title conventions, and annotation guidelines. Adhering to these graphical standards ensures that your charts effectively convey insights and maintain visual consistency.