Skip to content
Get packs

Data Visualization Guide

Guides the agent to pick chart types and design clear, accurate, accessible data visuals

Source Download skill
Repository
kyegomez/swarms
Stars
7,341
Licence
Apache-2.0
Files
1 file

What it does

This skill gives the agent a checklist of data visualization best practices. When you ask it to chart or graph data, it follows guidance on choosing a suitable chart type (line, bar, scatter, pie, heatmap, box plot), keeping axes honest, labeling units, limiting colors, using colorblind-friendly palettes, and leading with the main insight. It is written as guidance only and does not include scripts or tools of its own.

Great for

  • Analysts who want consistent, well-designed charts from an agent
  • Students or report writers who are unsure which chart type fits their data
  • Teams preparing dashboards or presentations who want accessibility and labeling handled

Skip it if

  • Users who need the agent to actually run code against real datasets: the skill only gives design advice and does not provide executable code or data access
  • Situations requiring verified statistical conclusions: the skill contains no method for checking the accuracy of underlying data

Try asking

  • “Create an executive dashboard layout for our monthly sales metrics”
  • “Suggest the best chart type for comparing customer churn across five regions”
  • “Make this report chart colorblind-friendly and add proper axis labels and units”
Step-by-step guide: how to use Data Visualization GuideInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the Apache-2.0 licence and an attribution note.

    data-visualization.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip data-visualization.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip data-visualization.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Describe your data's structure (time series, categories, relationships) so the agent can match a chart type to it
  • Ask the agent to name the main takeaway you want the chart to communicate, since the skill recommends leading with the insight
  • Pair it with a skill or tool that actually produces the chart file, such as a Python plotting environment, because this skill only supplies guidance

What's inside

  • SKILL.md

Redistributed unmodified from kyegomez/swarms under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.