matplotlib SKILL.md skillA
matplotlib from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/matplotlib@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/matplotlib/SKILL.md- Versions recorded
- 7
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 16,615 bytes
- Repository stars
- 56,497
- License
- MIT
Creates and customizes scientific plots with Matplotlib. Used for fine-grained control over plot elements, novel plot types, and scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
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
# Matplotlib ## Overview Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations. ## When to Use This Skill This skill should be used when: - Creating any type of plot or chart (line, scatter, bar, histogram, heatmap, contour, etc.) - Generating scientific or statistical visualizations - Customizing plot appearance (colors, styles, labels, legends) - Creating multi-panel figures with subplots - Exporting visualizations to various formats (PNG, PDF, SVG, etc.) - Building interactive plots or animations - Working with 3D visualizations - Integrating plots into Jupyter notebooks or GUI applications ## Setup For project work, install Matplotlib with uv: ```bash uv add "matplotlib==3.11.2" numpy scipy ``` For notebook interactivity: ```bash uv add "matplotlib==3.11.2" ipympl ``` Then enable the widget backend in Jupyter with `%matplotlib widget` or `%matplotlib ipympl`. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/matplotlib@sha256:60b80aaa802e1a88The line at the top of this page pins the label v1.4, 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_5vnd6wzngrg6yzio)
8 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 16,615 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 13,729 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 13,199 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 12,242 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,259 B | A | view · diff |
| v1.1 | 2026-06-07 | b24a631 | 12,254 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 11,469 B | A | view |
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 (16615 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5vnd6wzngrg6yzio GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/matplotlib GET https://markdownregistry.com/api/v1/blob/60b80aaa802e1a88db30729611789bf5ee92b3f2a7bb695502bac10dd255ee86
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.
More from k-dense-ai/scientific-agent-skills
Every file in k-dense-ai/scientific-agent-skills