charting SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

charting from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add oaustegard/claude-skills/charting@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
oaustegard/claude-skills
Path
plugins/data-and-visualization/skills/charting/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Jul 7, 2026
Size
6,130 bytes
Repository stars
158
License
MIT

Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. Use when creating charts, plots, graphs, diagrams, heatmaps, visualizations from data, or when choosing between matplotlib/seaborn/graphviz. Also triggers for network diagrams, flowcharts, dependency trees, state machines, and entity-relationship diagrams. For interactive browser-rendered charts or uploaded data exploration, defer to charting-vega-lite instead.

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

# Charting: Python Static Visualizations

Select the optimal Python charting library and produce clean, publication-quality output.

## Library Selection Framework

Choose the library based on what the visualization represents, not habit.

### Seaborn — DEFAULT for statistical/analytical charts

Seaborn wraps matplotlib with better defaults, tighter pandas integration, and fewer lines of code. Reach for seaborn first when the data lives in a DataFrame and the goal is analytical.

**Use for:** distributions (histograms, KDEs, violin plots, ECDFs), categorical comparisons (box plots, swarm plots, strip plots, bar plots), correlation (heatmaps, pair plots, regression plots), grouped/faceted views (`FacetGrid`, `catplot`, `relplot`).

**Why:** Automatic axis labeling from column names, coherent color palettes, built-in aggregation with confidence intervals, and `hue`/`col`/`row` faceting with minimal code.

**Practical rule:** If the code would call `plt.bar()`, `plt.hist()`, `plt.scatter()`, or build a heatmap with `plt.imshow()` — use the seaborn equivalent instead. It will look better with less effort.

### Matplotlib — fine-grained control and non-standard layouts
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add oaustegard/claude-skills/charting@sha256:11d08da3e3be99a0

The line at the top of this page pins the label v0.1.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vjp7ea2fbwrbeohd.svg)](https://markdownregistry.com/a/art_vjp7ea2fbwrbeohd)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 7, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-07-07 6154d36 6,130 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6130 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

GitHub

oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vjp7ea2fbwrbeohd
GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/charting
GET https://markdownregistry.com/api/v1/blob/11d08da3e3be99a0a58ec6144c995dffaa0336c83a90e3248704c6c01172620f

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.

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Every file in oaustegard/claude-skills

Other files named charting

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