chart-visualization

Name: chart-visualization
Availability: InStock
Author: easyspace-ai

Select optimal chart types and generate chart images from structured data.

Updated Apr 7, 2026

Search Tags:#analytics #parameters #data #visualization #chart #script #chart-type

Ready to run

npx skills add https://github.com/easyspace-ai/minote --skill chart-visualization-easyspace-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: chart-visualization
Source: https://github.com/easyspace-ai/minote/tree/main/skills/public/chart-visualization
Command: npx skills add https://github.com/easyspace-ai/minote --skill chart-visualization-easyspace-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Visualize data quickly by automatically selecting the most appropriate chart type from 26 options and rendering a chart image from structured input.

Core Features & Use Cases

Automated chart type selection: chooses the right chart (line, bar, pie, map, etc.) based on data characteristics and user goals.
Parameter extraction from references: reads detailed specs in references/ to build the correct args for generation.
Map/Chart generation via script: delegates rendering to a JavaScript script (scripts/generate.js) and returns a chart URL for embedding or sharing.
Use cases: KPI dashboards, trend analysis, comparative analytics, regional maps, and multi-series visualizations.

Quick Start

Provide input data and a target chart type, then trigger the visualization to generate the chart image.

Frequently Asked Questions about chart-visualization

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

FAQPage Schema

How do I automatically generate a chart visualization from structured data?▼

To generate a chart visualization from structured data, you provide your dataset and a spec mapping for input parameters. The tool automatically identifies the optimal chart type and delegates rendering to return a chart URL for embedding.

What is the best way to visualize time-series and multi-series comparisons in analytics dashboards?▼

Visualizing time-series and multi-series comparisons requires selecting appropriate chart types. This tool evaluates your data characteristics to automatically choose from 26 chart options, rendering the correct visual output for your dashboard.

Do I need a spec mapping to render chart images for trend analysis?▼

Yes, a spec mapping is required to render chart images for trend analysis. It validates inputs by mapping your structured data, chart parameters, and the output URL, ensuring the script generates the correct visual without errors.

How does automated chart type selection work for distribution and relational datasets?▼

Automated chart type selection works by evaluating the characteristics of your distribution and relational datasets against your visualization goals. It then reads detailed specs in references to build the correct arguments for chart generation.

Can I generate regional maps from structured input without manually selecting chart parameters?▼

Yes, you can generate regional maps from structured input without manual parameter selection. The tool auto-selects the appropriate map chart type, extracts the needed parameters from references, and delegates rendering to a script to return a shareable URL.

What happens when chart visualization encounters invalid parameters or mapping errors?▼

When chart visualization encounters invalid parameters or mapping errors, the tool validates the spec mapping inputs and gracefully handles the errors. This prevents broken renders by ensuring only correctly mapped data triggers the generation script.