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Agent skill

Scientific Visualization Tools

by DrugClaw in DrugClaw/DrugClaw

Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly.

Apache-2.0Auto-check passedData & Analytics

Install Scientific Visualization Tools

skills CLI
$ npx skills add DrugClaw/DrugClaw --skill scientific-visualization-tools -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DrugClaw/DrugClaw scientific-visualization-tools --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/science/scientific-visualization-tools .claude/skills/scientific-visualization-tools && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scientific-visualization-tools
GitHub stars
125
Token cost
~681 tokens
SKILL.md length
193 words
Files
3
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly.

  • Works in 5 steps: Decide first whether the output should… → Keep the plotting script parameterized… → Save the figure and a small JSON summary… → …
  • The user asks for scientific plots
  • SKILL.md covers Environment Check, Bundled Assets, Preferred Workflow and Static Publication Plots, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Scientific Visualization Tools is an agent skill from DrugClaw/DrugClaw. Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. Use when the user asks for scientific plots, cohort or assay figures, publication graphics, dashboards, or reusable plotting scripts for research datasets.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `templates/interactive_plot.py` and `templates/publication_plot.py`).

It sits in Data & Analytics, covering Data visualization. It works with Plotly, Matplotlib and Seaborn. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.

When your agent uses it

  • The user asks for scientific plots
  • Publication graphics
  • Reusable plotting scripts for research datasets

Example prompts

  • “/scientific-visualization-tools”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Decide first whether the output should be static publication art or interactive exploration.
  2. Keep the plotting script parameterized by column names rather than hardcoding one dataset.
  3. Save the figure and a small JSON summary of what was plotted.
  4. Do not use interactive charts where a paper-ready static figure is required.
  5. Do not claim statistical meaning from a plot unless the underlying analysis is also reported.

What it can do on your machine

Read from SKILL.md and the folder at commit 960a6e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scientific Visualization Tools loads about 681 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 193 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~681

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 193 words, ~681 tokens.

Download SKILL.mdSave it as .claude/skills/scientific-visualization-tools/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
scientific-visualization-tools
description
Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. Use when the user asks for scientific plots, cohort or assay figures, publication graphics, dashboards, or reusable plotting scripts for research datasets.
source
drugclaw
updated_at
2026-03-11

Scientific Visualization Tools

Use this skill when the user needs a figure artifact rather than only a numeric summary.

Typical triggers:

  • publication-ready scatter, box, violin, bar, or heatmap figures
  • interactive HTML charts for exploratory research data review
  • small reusable plotting scripts for assay, omics, or cohort tables
  • consistent styling across scientific plots

Environment Check

bash
which python3 || true
python3 - <<'PY'
mods = ["pandas", "matplotlib", "seaborn", "plotly"]
for name in mods:
    try:
        __import__(name)
        print(f"{name}: ok")
    except Exception as exc:
        print(f"{name}: missing ({exc})")
PY

If key plotting modules are missing, recommend the optional drug-sandbox image documented in docs/operations/science-runtime.md.

Bundled Assets

  • templates/publication_plot.py
  • templates/interactive_plot.py

Preferred Workflow

  1. Decide first whether the output should be static publication art or interactive exploration.
  2. Keep the plotting script parameterized by column names rather than hardcoding one dataset.
  3. Save the figure and a small JSON summary of what was plotted.
  4. Do not use interactive charts where a paper-ready static figure is required.
  5. Do not claim statistical meaning from a plot unless the underlying analysis is also reported.

Static Publication Plots

bash
python3 templates/publication_plot.py \
  --input figures/assay.csv \
  --kind box \
  --x-column arm \
  --y-column response \
  --color-column arm \
  --output figures/assay_box.png \
  --summary figures/assay_box.json

Supported baseline kinds:

  • scatter
  • line
  • box
  • violin
  • bar
  • heatmap

Interactive Plotly Charts

bash
python3 templates/interactive_plot.py \
  --input figures/cohort.csv \
  --kind scatter \
  --x-column age \
  --y-column biomarker \
  --color-column response \
  --output figures/cohort_scatter.html \
  --summary figures/cohort_scatter.json

Use this for exploratory review, dashboards, and lightweight sharing.

For statistical inference behind a plot, activate stat-modeling-tools. For Kaplan-Meier and time-to-event figures, activate survival-analysis-tools. For broader scientific-writing and manuscript-structure work, activate scientific-workflow-tools.

© DrugClaw, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/science/scientific-visualization-tools of DrugClaw/DrugClaw.

  • SKILL.md
  • templates/interactive_plot.py
  • templates/publication_plot.py

Open the folder on GitHubat commit 960a6e0

Compare with similar skills

Scientific Visualization Tools next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scientific Visualization Tools compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scientific Visualization Tools this skillDrugClaw/DrugClaw125—~681Automated safety check: PassApache-2.0
MatplotlibzLanqing/codex-claude-academic-skills4.6k18 repos~2.9kAutomated safety check: PassMIT
Scientific Visualizationmims-harvard/OptimusKG14619 repos~6.3kAutomated safety check: PassMIT
SeabornzLanqing/codex-claude-academic-skills4.6k16 repos~4.9kAutomated safety check: PassBSD-3-Clause
Scientific VisualizationOleafly/Oleafly2061 repos~3.4kAutomated safety check: NotesMIT
CJK Font Setup for Plotsxjtulyc/MedgeClaw6171 repos~1.3kAutomated safety check: PassNone

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Works with

Categories

Questions about Scientific Visualization Tools

What does Scientific Visualization Tools do?

Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. Scientific Visualization Tools is an agent skill from DrugClaw/DrugClaw. Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly.

When should I use Scientific Visualization Tools?

Scientific Visualization Tools fits situations like: the user asks for scientific plots; publication graphics; reusable plotting scripts for research datasets.

How do I install Scientific Visualization Tools in Claude Code?

Run `npx skills add DrugClaw/DrugClaw --skill scientific-visualization-tools -a claude-code`. Or copy the skill folder (skills/science/scientific-visualization-tools in DrugClaw/DrugClaw) into .claude/skills/scientific-visualization-tools in your project. Claude Code loads it when a task matches its description.

How do I install Scientific Visualization Tools in Codex?

Run `npx skills add DrugClaw/DrugClaw --skill scientific-visualization-tools -a codex`. Or copy the skill folder (skills/science/scientific-visualization-tools in DrugClaw/DrugClaw) into .agents/skills/scientific-visualization-tools in your project. Codex loads it when a task matches its description.

Can I use Scientific Visualization Tools in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DrugClaw/DrugClaw --skill scientific-visualization-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-visualization-tools, .gemini/skills/scientific-visualization-tools, .github/skills/scientific-visualization-tools and .opencode/skills/scientific-visualization-tools in your project.

What does Scientific Visualization Tools need to run?

Going by SKILL.md and its folder, Scientific Visualization Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Scientific Visualization Tools access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scientific Visualization Tools safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scientific Visualization Tools use?

Scientific Visualization Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scientific Visualization Tools use?

About 681 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scientific Visualization Tools?

Skills that share tags, products or a category with Scientific Visualization Tools: Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars), Seaborn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Scientific Visualization (Oleafly/Oleafly, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scientific Visualization Tools?

DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 125 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.

Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.