agentleFS
Sign inStart free
cellrishi-codecellrishi-code/claude-skills-atlas/skills/python/data-visualization/SKILL.md

data-visualization

Skill6 starsChanged 39 days agoMITView on GitHub

Start from the analytical question and variable types. Choose a chart that exposes the intended comparison. Label units, axes, uncertainty, and transformations. Avoid misleading scales and unnecessary decoration. Verify that plotted data matches the source data.

48 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use case-study-writing, loading-states and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CAPP-FinancialsSkill

    case-study-writing

    Client case study with challenge-approach-solution-impact structure and quantified outcomes

    Also in 3 projects that use this

  • soilmassSkill

    loading-states

    Animation patterns for loading, progress, and waiting states. Use for skeleton screens, progress indicators, optimistic UI, and content placeholder transitions. Keeps users informed and engaged during async operations.

    Also in 3 projects that use this

  • nddqSkill

    dashboard-design

    Also in 4 projects that use this

  • launchapp-devSkill

    interview-script

    Create a structured user interview script with warm-up, core exploration, and wrap-up sections. Use when preparing for user research interviews to ensure consistent, insightful conversations.

    Also in 3 projects that use this

  • nandanosqlSkill

    swot-analysis

    Conduct a structured SWOT analysis — Strengths, Weaknesses, Opportunities, Threats — that connects internal capabilities to external forces for strategic decision-making.

    Also in 3 projects that use this

  • abinauvSkill

    change-management

    Comprehensive change management consulting toolkit — stakeholder mapping, ADKAR framework, Kotter's 8-Step Model, communication planning, resistance analysis, cultural assessment, readiness assessment, training needs analysis, impact assessment, and transition planning.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 41 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Start from the analytical question and variable types.

    line 12

“Common” is measured: kept by at least 6 in 10 of the 41 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Python Data Visualization

Start from the analytical question and variable types. Choose a chart that exposes the intended comparison. Label units, axes, uncertainty, and transformations. Avoid misleading scales and unnecessary decoration. Verify that plotted data matches the source data.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free