agentleFS
Sign inStart free
edu6565edu6565/claude-skills/skills/data-visualization/SKILL.md

data-visualization

Skill0 starsChanged 3 months agoNo licenceView on GitHub

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

48 other projects use a version of this, 6 of them edited.

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

  • xfstudioSkill

    data-storytelling

    Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

    Also in 3 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

24 rules. 0 are common, 23 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 40 edited versions we read keep these.

  • 23

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 40 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.

Does it work?

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

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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