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Choose and draw clear charts v1.0.0

Use this resource to create readable, accessible charts from data

New

  • 486 downloads
  • 242 likes
  • 181 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install chart-selection-design

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the chart type from the relationship to show, avoids pitfalls (3D, pies, dual axes) and applies matplotlib, seaborn and plotly patterns. It follows rules such as insight-stating titles, bars starting at zero and colorblind-safe colors. You get figures ready for a report or a presentation.

Mostly picked by

Updated November 2, 2026

Chart selection guide with line, bar and heatmap examples

Details

Works in
Install guides
Generates with
Your agent's model
Uses
  • Python 3 with matplotlib, seaborn, pandas
  • plotly (for interactive charts)
Licence
Apache-2.0

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What you get

  • SKILL.md: a chart selection table and charts to avoid
  • Python code patterns for line, bar, histogram, heatmap and small multiples
  • Color, typography and accuracy principles plus an accessibility checklist

Good fit for

  • You need to illustrate a client report or an article with charts
  • You are unsure which chart type fits a dataset
  • You want figures that colorblind readers can use

Not for

  • Building a full interactive dashboard
  • Statistical analysis of the data
  • Making illustrated infographics

Tags

  • charts
  • data
  • python
  • accessibility
  • report

About

You say

"Here is my CSV of monthly sales by region: suggest the best chart and generate it as a PNG with a title that states the insight."

Chart selection guide with line, bar and heatmap examples

Skill published by Anthropic under the Apache-2.0 license.

Show more

Prerequisites

You bring
Your data (CSV, pasted table) and What you want the chart to demonstrate
Dependencies
Python 3 with matplotlib, seaborn, pandas and plotly (for interactive charts)

How to use it

  1. Install the skill in your agent
  2. Provide your data and say what you want to show
  3. Check the accessibility checklist before sharing

Content preview

Files

  • LICENSE11.5 KB
  • NOTICE-PALATEKIT.md0.4 KB
  • SKILL.md11.1 KB

Origin and licence

Modified by PalateKit

Author
Anthropic
Source
github.com/anthropics/knowledge-work-plugins/tree/2574e29377c7173d0cecffef29a6ecbd7f8ccb5d/data/skills/data-visualization
Licence
Apache-2.0

Notice

Version modifiée de « data-visualization » (Anthropic, Apache-2.0) : traduction française et fiche par PalateKit.

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Frequently asked questions

Do I need to know how to code?

No, the agent writes and runs the Python code. Python and the matplotlib, seaborn and pandas libraries (plus plotly for interactive charts) must be installed on your machine.

Can I change the colors?

Yes. The provided palette is colorblind-friendly; you can ask for your brand colors while keeping good contrast.