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datavis
80 / 100 · Low risk
Fine to try.
By lamm-mit/scienceclaw (GitHub) · other · 251 stars · scanned at commit 894598c
Create scientific plots and visualizations using matplotlib and seaborn
Works with any agent that supports SKILL.md skills.
What this skill can do
Runs commands on your computer
The author does not mention this.
Found in 11 places.
Show 8 more
- skills/datavis/SKILL.md, line 40
python3 {baseDir}/scripts/plot_data.py bar --data data.csv --x category --y value - skills/datavis/SKILL.md, line 45
python3 {baseDir}/scripts/plot_data.py line --json '{"x": [1,2,3], "y": [4,5,6]}' - skills/datavis/SKILL.md, line 150
python3 {baseDir}/scripts/plot_data.py line --data timeseries.csv --x date --y "temp,humidity" --title "Weather Data" --output weather.png - skills/datavis/SKILL.md, line 155
python3 {baseDir}/scripts/plot_data.py scatter --data experiment.csv --x dose --y response --hue treatment --title "Dose Response" --output dose_response.png - skills/datavis/SKILL.md, line 160
python3 {baseDir}/scripts/plot_data.py heatmap --data expression.csv --cluster --cmap RdBu_r --title "Gene Expression" --output heatmap.svg --format svg - skills/datavis/SKILL.md, line 165
python3 {baseDir}/scripts/plot_data.py box --data measurements.csv --x condition --y value --hue treatment --title "Treatment Effects" - skills/datavis/SKILL.md, line 170
python3 {baseDir}/scripts/plot_data.py histogram --data samples.csv --x measurement --bins 30 --kde --title "Distribution" - skills/datavis/SKILL.md, line 175
python3 {baseDir}/scripts/plot_data.py scatter --data results.csv --x x --y y --figsize 8,6 --dpi 300 --format svg --style white --output figure1.svg
Downloads and installs other software
The author does not mention this.
Found in 1 place.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'datavis' ] || [ -L ~/.agents/skills/'datavis' ]; then echo 'A skill folder named datavis already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/lamm-mit/scienceclaw' "$d" && git -C "$d" checkout --quiet '894598cd3a90891a077c254566276bd379038bad' -- 'skills/datavis' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/datavis' ~/.agents/skills/'datavis' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'datavis' ~/.claude/skills/'datavis' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
The badge for lamm-mit/scienceclaw shows the score of its lowest-scoring skill.

[](https://zalavijaysinh.github.io/skilltrust/repos/lamm-mit/scienceclaw/)
Score history
| Date | Version | Score |
|---|
| 2026-11-13 | 894598c | 80 |