lightest-data-viz

Generate publication-ready charts from CSV or Excel data for PNG or PDF.

4|Updated Jun 4, 2026

Search Tags:#data visualization #excel #csv #word #matplotlib #seaborn #typst

Ready to run

npx skills add https://github.com/lijiandao/lightest-skills --skill lightest-data-viz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lightest-data-viz
Source: https://github.com/lijiandao/lightest-skills/tree/main/skills/lightest-data-viz
Command: npx skills add https://github.com/lijiandao/lightest-skills --skill lightest-data-viz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you turn real CSV or Excel data into accurate, publication-ready charts for reports, papers, and presentations without inventing values or mismatching the source data.

Core Features & Use Cases

Data-to-chart workflows: Reads tabular data, selects appropriate chart types, and exports polished figures in PNG or PDF.
Report embedding: Supports insertion into Typst, Word, and Excel workflows with consistent figure captions and naming.
Publication styling: Applies research-ready palettes, fonts, and layout rules for exhibit-style visuals, scientific figures, and consulting charts.

Quick Start

Use the lightest-data-viz skill to read my CSV or Excel file, generate a publication-ready chart, and prepare it for embedding in the target report format.

Frequently Asked Questions about lightest-data-viz

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

FAQPage Schema

How do I generate publication-ready charts from Excel or CSV files?▼

To generate publication-ready charts from Excel or CSV files, you load the tabular data into the workflow, which selects appropriate chart types and exports polished figures in PNG or PDF format without inventing values.

Can I embed matplotlib charts directly into a Typst or Word report?▼

Yes, you can embed matplotlib charts into Typst or Word reports. The workflow prepares generated graphics with consistent figure captions and format-specific embedding rules for seamless document integration.

What is the best way to ensure data visualization matches my source CSV data?▼

The best way to ensure chart accuracy against source CSV data is using a workflow that enforces strict data gating, preventing the system from inventing chart values or mismatching the underlying tabular records.

Does this data visualization workflow apply publication styling to scientific figures?▼

Yes, this data visualization workflow applies publication styling to scientific figures by enforcing research-ready palettes, fonts, and layout rules suitable for exhibit-style visuals and consulting charts.

Do I need matplotlib to create research-ready figures from CSV data?▼

Yes, you need matplotlib installed as a dependency to create research-ready figures, because the workflow relies on it to render tabular CSV data into formatted PNG or PDF deliverables.