Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Create publication-quality plots and visualizations using matplotlib and seaborn.
Install Data Viz Plots
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Microck/ordinary-claude-skills data-viz-plots --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills_all/data-viz-plots .claude/skills/data-viz-plots && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .claude/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plotsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Microck/ordinary-claude-skills data-viz-plots --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills_all/data-viz-plots .agents/skills/data-viz-plots && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .agents/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Microck/ordinary-claude-skills data-viz-plots --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills_all/data-viz-plots .cursor/skills/data-viz-plots && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .cursor/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Microck/ordinary-claude-skills.git --path skills_all/data-viz-plots--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Microck/ordinary-claude-skills data-viz-plots --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills_all/data-viz-plots .gemini/skills/data-viz-plots && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .gemini/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Microck/ordinary-claude-skills data-viz-plotsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills_all/data-viz-plots .github/skills/data-viz-plots && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .github/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Microck/ordinary-claude-skills data-viz-plots --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills_all/data-viz-plots .opencode/skills/data-viz-plots && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "data-viz-plots" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-viz-plots into .opencode/skills/data-viz-plots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-plots", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
data-viz-plots- GitHub stars
- 403
- Used in
- 2 other repos
- Token cost
- ~3.8k tokens
- SKILL.md length
- 401 words
- Files
- 2
- Skills in repo
- 91
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Create publication-quality plots and visualizations using matplotlib and seaborn.
- Works in 6 steps: Import Required Libraries → Basic Scatter Plot → Line Plot with Multiple Series → …
- Tasks that involve Data visualization
- SKILL.md covers Overview, When to Use This Skill, How to Use and Advanced Features, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Viz Plots is an agent skill from Microck/ordinary-claude-skills. Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Data & Analytics, covering Data visualization. It works with Matplotlib and Seaborn. The repository describes itself as: An unappealing collection of Claude Skills and resources.
When your agent uses it
- Tasks that involve Data visualization
Example prompts
- “/data-viz-plots”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Import Required Libraries
- Basic Scatter Plot
- Line Plot with Multiple Series
- Box Plot and Violin Plot
- Heatmap
- Bar Plot with Error Bars
What it can do on your machine
Read from SKILL.md and the folder at commit 1056d29. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
matplotlib.orgseaborn.pydata.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Data Viz Plots loads about 3.8k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 401 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 401 words (~3,754 tokens).
“This skill enables you to create professional scientific visualizations including scatter plots, line charts, heatmaps, violin plots, and more. Unlike cloud-hosted solutions, this skill uses the matplotlib and seaborn Python libraries and executes locally in your environment, making it compatible…”
- name
- data-viz-plots
- title
- Data Visualization (Universal)
Files
SKILL.md and 1 other file in skills_all/data-viz-plots of Microck/ordinary-claude-skills.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 1056d29
Used in 2 other repositories
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Microck/ordinary-claude-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Data Viz Plots next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Data Viz Plots this skillMicrock/ordinary-claude-skills | 403 | 2 repos | ~3.8k | Automated safety check: Pass | Custom licence | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.6k | 18 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Scientific Visualizationmims-harvard/OptimusKG | 146 | 19 repos | ~6.3k | Automated safety check: Pass | MIT | |
| SeabornzLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Scientific VisualizationOleafly/Oleafly | 206 | 1 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Ieee Figure TableCloudWave818/ieee-skills | 355 | — | ~1k | Automated safety check: Pass | MIT |
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mims-harvard/OptimusKG
Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG.
Seaborn
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Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills.
Scientific Visualization
Oleafly/Oleafly
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.
Ieee Figure Table
CloudWave818/ieee-skills
Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-editor workflows…
Nature Figure
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Submission-grade Nature/high-impact journal figure workflow for Python or R.
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Related
Works with
Categories
Questions about Data Viz Plots
What does Data Viz Plots do?
Create publication-quality plots and visualizations using matplotlib and seaborn. Data Viz Plots is an agent skill from Microck/ordinary-claude-skills. Create publication-quality plots and visualizations using matplotlib and seaborn.
When should I use Data Viz Plots?
Data Viz Plots fits situations like: tasks that involve Data visualization.
How do I install Data Viz Plots in Claude Code?
Run `npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a claude-code`. Or copy the skill folder (skills_all/data-viz-plots in Microck/ordinary-claude-skills) into .claude/skills/data-viz-plots in your project. Claude Code loads it when a task matches its description.
How do I install Data Viz Plots in Codex?
Run `npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a codex`. Or copy the skill folder (skills_all/data-viz-plots in Microck/ordinary-claude-skills) into .agents/skills/data-viz-plots in your project. Codex loads it when a task matches its description.
Can I use Data Viz Plots in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Microck/ordinary-claude-skills --skill data-viz-plots -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-viz-plots, .gemini/skills/data-viz-plots, .github/skills/data-viz-plots and .opencode/skills/data-viz-plots in your project.
What does Data Viz Plots need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Viz Plots is instructions for the agent only. Our summary lists: Python 3.
Does Data Viz Plots access the network?
SKILL.md names 2 domains. As links in the text: matplotlib.org and seaborn.pydata.org. This is read from the text; nothing was executed.
Is Data Viz Plots safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Data Viz Plots use?
Data Viz Plots has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Data Viz Plots use?
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Viz Plots?
Skills that share tags, products or a category with Data Viz Plots: Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scientific Visualization (mims-harvard/OptimusKG, 146 stars), Seaborn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Scientific Visualization (Oleafly/Oleafly, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Viz Plots?
Microck (a GitHub user) maintains it in Microck/ordinary-claude-skills, which has 403 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 6, 2026.
Source: Microck/ordinary-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.