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freeman5860
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chart

Generate matplotlib PNG charts from wiki data with reproducible Python scripts.

33|6|Updated Apr 4, 2026
Search Tags:#automation#python#visualization#wiki#matplotlib#chart
One-click install
npx skills add https://github.com/freeman5860/KnowledgeBase --skill chart-freeman5860
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chart
Source: https://github.com/freeman5860/KnowledgeBase/tree/main/.claude/skills/chart
Command: npx skills add https://github.com/freeman5860/KnowledgeBase --skill chart-freeman5860

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps data practitioners transform scattered wiki information into clear, shareable visualizations, enabling faster insight discovery and communication.

Core Features & Use Cases

  • Reads wiki entries to extract structured data for charting
  • Generates deterministic Python scripts under output/charts/{name}.py
  • Produces chart images in PNG format under output/charts
  • Supports multiple chart types (time-series, relationship graphs, comparisons, and hierarchical views)
  • Enables viewing charts directly in Obsidian or other viewers

Quick Start

Create a chart from the wiki data to visualize trends and relationships.

Frequently Asked Questions about chart

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

FAQPage Schema
How do I generate matplotlib visualizations from wiki data?▼

This skill generates matplotlib visualizations from wiki data by extracting structured information, writing deterministic Python scripts, and executing them to produce PNG chart images saved under output/charts.

Can I create different chart types like time-series and relationship graphs from wiki entries?▼

Yes, you can create multiple chart types from wiki entries including time-series, relationship graphs, comparisons, and hierarchical views to explore trends and relationships across your wiki data.

What is the best way to turn Obsidian wiki notes into shareable chart images?▼

The best way to turn Obsidian wiki notes into shareable chart images is to use this skill to extract structured data, generate matplotlib PNGs, and view the saved output charts directly in Obsidian or other image viewers.

Does this chart generation approach require manual Python coding?▼

No manual Python coding is required because the skill automatically generates deterministic Python scripts under output/charts and executes them to create reproducible matplotlib visualizations from your wiki data.

Where are the generated Python scripts and chart images saved?▼

Generated Python scripts are saved as reproducible files under output/charts/{name}.py, and the executed chart images are saved as PNG files within the same output/charts directory structure.

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