seaborn-statistical-visualization SKILL.md skillA
seaborn-statistical-visualization from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/seaborn-statistical-visualization@git:20260528.7303680Pins git:20260528.7303680 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
legacy/seaborn-statistical-visualization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260528.7303680, committed May 28, 2026
- Size
- 16,506 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatmaps. Auto aggregation/CIs. Use plotly for interactive; matplotlib for low-level.
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
# Seaborn — Statistical Visualization ## Overview Seaborn is a Python visualization library for creating publication-quality statistical graphics with minimal code. It works directly with pandas DataFrames, provides automatic statistical estimation (means, CIs, KDE), and offers attractive default themes. Built on matplotlib for full customization access. ## When to Use - Creating distribution plots (histograms, KDE, violin plots, box plots) for data exploration - Visualizing relationships between variables with automatic trend fitting and confidence intervals - Comparing distributions across categorical groups (treatment vs control, tissue types) - Generating correlation heatmaps and clustered heatmaps - Quick exploratory data analysis with `pairplot` for all pairwise relationships - Multi-panel figures with automatic faceting by categorical variables - For **interactive plots** with hover/zoom, use plotly instead - For **low-level figure control** or custom layouts, use matplotlib directly ## Prerequisites ```bash pip install seaborn matplotlib pandas ``` ## Quick Start ```python import seaborn as sns import matplotlib.pyplot as plt import pandas as pd …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/seaborn-statistical-visualization@sha256:d9b99a7d7b0ed83cThe line at the top of this page pins the label git:20260528.7303680, 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_gtaxjmcor473acre)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16506 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gtaxjmcor473acre GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/seaborn-statistical-visualization GET https://markdownregistry.com/api/v1/blob/d9b99a7d7b0ed83c51970dc5066a2cbdf82cfcb3e637819e35874e69ee180fd0
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.