Easyplot
Use when the user asks for scientific data preparation, exploratory analysis, statistical inference, model evaluation, or research figures in R or Python, including analysis-only requests, multi-panel composition, and publication export. EasyPlot is the user's single entry point for research data analysis and visualization; exclude unrelated business dashboards and general application development.
Install
npx skills add Rimagination/easyplot --skill easyplotgit clone --depth 1 https://github.com/Rimagination/easyplot.git /tmp/easyplot
mkdir -p ~/.claude/skills
cp -r /tmp/easyplot/. ~/.claude/skills/easyplotPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# EasyPlot EasyPlot is the user's single entry point for scientific data analysis and visualization. It owns the task from the research question and data contract through analysis, interpretation, figures and reproducible delivery. R is the default; an explicit Python request stays in Python. Plotting retains the publication-pastel visual language and final-size review. ## One entry point, selective local modules - The user should not need to select or install a second scientific-analysis/visualization skill. Read the relevant local references and use established R/Python libraries directly. Ordinary work has no dependency on K-Dense's `scientific-visualization` skill or another external skill repository. - Accept analysis-only requests without requiring a figure. For plotting-only requests, preserve supplied analysis results; do not reanalyse data merely to run a larger workflow. - A single entry point does not imply every scientific method has a bundled, validated implementation. Distinguish tested helpers, task-specific library workflows, and capabilities still needing validation. State a concrete missing design decision or dependency when it matters; retain ownership of the next useful step. - Preserve existing project conventions and user-approved methods. Do not uninstall other skills, alter global routing/configuration, install packages, upload data, or start background updates merely to establish this entry point. | Task | Read / use only what is needed |
Details
- Skill name
easyplot- Repository
- Rimagination/easyplot
- License
- MIT
- Repo updated
- 29 September 2026
FAQ
What does the Easyplot skill do?
Use when the user asks for scientific data preparation, exploratory analysis, statistical inference, model evaluation, or research figures in R or Python, including analysis-only requests, multi-panel composition, and publication export. EasyPlot is the user's single entry point for research data analysis and visualization; exclude unrelated business dashboards and general application development.
How do I install the Easyplot skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add Rimagination/easyplot --skill easyplot. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Easyplot popular?
It lives in Rimagination/easyplot, which has 110 GitHub stars and 4 forks.
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