bio-data-visualization-distribution-plots SKILL.md skillA
bio-data-visualization-distribution-plots from pku-yuangroup/openai4s is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pku-yuangroup/openai4s/bio-data-visualization-distribution-plots@git:20260821.2d1b678Pins git:20260821.2d1b678 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pku-yuangroup/openai4s
- Path
skills/bioskills/bio-data-visualization-distribution-plots/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260821.2d1b678, committed Aug 21, 2026
- Size
- 14,189 bytes
- Repository stars
- 662
- License
- MIT
Plot per-group distributions of continuous data using boxplots, violins, beeswarms, quasirandom jitter, and raincloud plots with sample-size honesty (Weissgerber 2015), KDE-bandwidth awareness, and N-aware encoding choices. Use when comparing distributions across a small number of groups — expression per cluster, biomarker per arm, scores per condition — and the bar-of-mean default is misleading.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Version Compatibility
Reference examples tested with: ggplot2 3.5+, ggbeeswarm 0.7+, ggdist 3.3+, gghalves 0.1.4+, seaborn 0.13+, matplotlib 3.8+, ptitprince 0.3+ (Python raincloud).
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
- R: `packageVersion('<pkg>')` then `?function_name` to verify parameters
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
# Distribution Plots
**"Plot the distribution per group"** -> Render boxplot, violin, beeswarm, or raincloud calibrated to N per group, the underlying distribution shape, and the audience's ability to read each encoding. The default `geom_bar(stat='summary')` is the canonical misleading choice — Weissgerber 2015 *PLOS Biol* documented that 703 top physiology papers use bar-of-mean despite multiple distinct distributions producing identical bars.
- R: `ggplot2::geom_boxplot`, `ggplot2::geom_violin`, `ggbeeswarm::geom_quasirandom`, `ggdist::stat_halfeye`, `gghalves::geom_half_violin`
…Read the whole file at its exact version.
How to install
mdr add pku-yuangroup/openai4s/bio-data-visualization-distribution-plots@sha256:7666bde3c7a0c413The line at the top of this page pins the label git:20260821.2d1b678, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ueumdfsz5cbdmzfs)
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Versions
The registry has recorded 1 version of this file, committed on Aug 21, 2026.
Audit of the latest version
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Source
pku-yuangroup/openai4s · 662 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ueumdfsz5cbdmzfs GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-data-visualization-distribution-plots GET https://markdownregistry.com/api/v1/blob/7666bde3c7a0c413ef3dfb4000836215843150eafcf976d716e9f97d59047467
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.