agentleFS
Sign inStart free
twomathematicians-codetwomathematicians-code/AgentForge/skills/charts/SKILL.md

charts

Skill1 starsChanged 7 months agoNo licenceView on GitHub

Professional chart and diagram creation skill. Covers all types of visual data representation and structural diagrams: - **Data charts**: bar charts, line charts, pie charts, scatter plots, heatmaps, radar charts, candlestick charts, boxplots, histograms, area charts, waterfall charts, regression plots, distribution plots, and statistical visualizations. - **Structural diagrams**: flowcharts, mind maps, tree diagrams, org charts, architecture diagrams, network/relationship graphs, ER diagrams, class diagrams, Gantt charts, swimlane diagrams, and sequence diagrams. - **Dashboards**: data dashboards, KPI panels, multi-chart compositions, and interactive visualizations. - **Design quality**: professional color systems, anti-overlap rules, layout optimization, scene-based framework routing (matplotlib, seaborn, ECharts, D3.js, Mermaid, Playwright+CSS), and publication-ready output. Applies when the user wants to create, generate, draw, plot, visualize, or improve any chart, graph, diagram, or dashboard. Also applies when the user asks for something more polished, cleaner, or publication-ready. NOT for: PDF document layout (use pdf skill), slide decks (use slides skill), spreadsheets with embedded charts (use xlsx skill), AI image generation (use image_gen), posters / infographics / creative cards (use pdf skill Creative pipeline). FORBIDDEN: Using matplotlib/seaborn to draw mind maps, tree diagrams, org charts, flowcharts, or any structural diagram. These MUST use Playwright+CSS.

  • Installs packages

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 0 are common, 11 are distinctive, and 9 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 9

    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 6 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