How do I install the Scientific Visualization skill?

Run npx skillmds@latest add tsinghua-fib-lab/scientific-visualization in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Scientific Visualization safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Scientific Visualization?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Scientific Visualization free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Scientific Visualization?

tsinghua-fib-lab (@tsinghua-fib-lab) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Scientific Visualization by tsinghua-fib-lab

Name: Scientific Visualization
Rating: 4.5 (4 reviews)
Author: tsinghua-fib-lab

Scientific Visualization

Publication-quality chart patterns for agentsociety-analysis Stage 4 refine — Okabe-Ito palettes, seaborn CI bands, small multiples, error bars, grayscale-safe encoding. Use when writing run-code chart scripts or reviewing chart QA failures.

File contents

Scientific Visualization (bundled support)

Active only during agentsociety-analysis explore/refine/produce. Does not replace figure contracts or harness gates.

When to read

Writing charts/chart_NN_*.py via run-code
Chart failed squint test or validate-chart
User asks for better-looking or clearer plots

Read order

references/charts.md
references/chart-recipes.md
assets/chart_scaffold.reference.py
references/api.md

Absorbed sources (patterns only — no external deps required)

Source	Absorbed
K-Dense scientific-visualization	Okabe-Ito, CI/error bars, multi-panel labels, grayscale test
seaborn	`set_theme(ticks, paper, colorblind)`, `lineplot` CI, `boxplot`+`stripplot`
Observable Plot	Defaults-first workflow, faceting, shared scales
Tufte	Small multiples, chart junk removal
Cursor canvas	Mandatory metric titles, axis units, source in caption

AgentSociety overrides

English-only legend text
matplotlib Agg required
Simulation caveats — no overstated significance
Semantic palette locked per condition across report
PNG in assets/ required; interactive HTML optional

Quick invoke

Copy scaffold → pick recipe letter (A–G) → fill SQL/pandas → save_chart_bundle → rubric → compose-figure if needed.

---name: scientific-visualizationdescription: Publication-quality chart patterns for agentsociety-analysis Stage 4 refine — Okabe-Ito palettes, seaborn CI bands, small multiples, error bars, grayscale-safe encoding. Use when writing run-code chart scripts or reviewing chart QA failures.---# Scientific Visualization (bundled support)Active only during **agentsociety-analysis** explore/refine/produce. Does not replace figure contracts or harness gates.## When to read- Writing `charts/chart_NN_*.py` via `run-code`- Chart failed squint test or `validate-chart`- User asks for better-looking or clearer plots## Read order1. `references/charts.md`2. `references/chart-recipes.md`3. `assets/chart_scaffold.reference.py`4. `references/api.md`## Absorbed sources (patterns only — no external deps required)| Source | Absorbed || -------------------------------- | --------------------------------------------------------------------------- || K-Dense scientific-visualization | Okabe-Ito, CI/error bars, multi-panel labels, grayscale test || seaborn | `set_theme(ticks, paper, colorblind)`, `lineplot` CI, `boxplot`+`stripplot` || Observable Plot | Defaults-first workflow, faceting, shared scales || Tufte | Small multiples, chart junk removal || Cursor canvas | Mandatory metric titles, axis units, source in caption |## AgentSociety overrides- English-only legend text- matplotlib `Agg` required- Simulation caveats — no overstated significance- Semantic palette locked per condition across report- PNG in `assets/` required; interactive HTML optional## Quick invokeCopy scaffold → pick recipe letter (A–G) → fill SQL/pandas → `save_chart_bundle` → rubric → `compose-figure` if needed.

Frequently asked questions