Analytics Data Analysis
Mindrally/skills
Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.
Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.
Install Plot ML Figure
$ npx skills add probabl-ai/skills --skill plot-ml-figure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills plot-ml-figure --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/probabl-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plot-ml-figure .claude/skills/plot-ml-figure && 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 "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .claude/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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/probabl-ai/skills/tree/main/skills/plot-ml-figureType 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 probabl-ai/skills --skill plot-ml-figure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills plot-ml-figure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/plot-ml-figure .agents/skills/plot-ml-figure && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .agents/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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 probabl-ai/skills --skill plot-ml-figure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills plot-ml-figure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/plot-ml-figure .cursor/skills/plot-ml-figure && 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 "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .cursor/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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/probabl-ai/skills.git --path skills/plot-ml-figure--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 probabl-ai/skills --skill plot-ml-figure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills plot-ml-figure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/plot-ml-figure .gemini/skills/plot-ml-figure && 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 "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .gemini/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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 probabl-ai/skills plot-ml-figureInstalls 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 probabl-ai/skills --skill plot-ml-figure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/plot-ml-figure .github/skills/plot-ml-figure && 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 "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .github/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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 probabl-ai/skills --skill plot-ml-figure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install probabl-ai/skills plot-ml-figure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/plot-ml-figure .opencode/skills/plot-ml-figure && 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 "plot-ml-figure" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/plot-ml-figure into .opencode/skills/plot-ml-figure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plot-ml-figure", 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
plot-ml-figure- GitHub stars
- 137
- Token cost
- ~785 tokens
- SKILL.md length
- 339 words
- Files
- 3 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.
- Works in 5 steps: If a skore report or sklearn Display… → If interactivity (hover, zoom, pan) is… → If the plot is statistical on a tidy… → …
- Explore-ml-data
- SKILL.md covers Sequence and Stop conditions
- Calls git and uv
What it does
Plot ML Figure is an agent skill from probabl-ai/skills. Pick how to write a figure before custom plot code. Trigger when explore-ml-data, evaluate-ml-pipeline, or audit-ml-pipeline is about to save or display a chart, or when the user asks for a plot. Not a session owner. Not for skore/sklearn Display plots that already exist on a report. HOW TO USE: first match on the tree (owned plot, interactive iframe HTML, seaborn statistical, pandas chart, else matplotlib). In a notebook: save PNG (or HTML) then leave the figure as the cell output; never plt.close. Convert…
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/when.md`).
It sits in Data & Analytics, covering Data visualization, DataFrames and Machine learning. It works with Python, Matplotlib, pandas and Polars. The repository describes itself as: Tabular Data Science Skills for guardrailing AI Agents. The licence is BSD-3-Clause.
When your agent uses it
- Explore-ml-data
- Evaluate-ml-pipeline
- Audit-ml-pipeline is about to save
- Display a chart
Example prompts
- “/plot-ml-figure”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- If a skore report or sklearn Display already plots this,
- If interactivity (hover, zoom, pan) is the requirement
- If the plot is statistical on a tidy DataFrame (distribution,
- If it is a simple Series/DataFrame bar / line / hist /
- Else matplotlib. Last resort. In a notebook still save and
What it can do on your machine
Read from SKILL.md and the folder at commit 73564e4. 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
Shell commands in SKILL.md call:
gituv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git and uv, which can reach the network depending on how they are called.
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
Plot ML Figure loads about 785 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 339 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
The full file from probabl-ai/skills at commit 73564e4, republished under its BSD-3-Clause licence (© probabl-ai). 339 words, ~785 tokens.
Download SKILL.mdSave it as
.claude/skills/plot-ml-figure/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- plot-ml-figure
- description
- Pick how to write a figure before custom plot code. Trigger when explore-ml-data, evaluate-ml-pipeline, or audit-ml-pipeline is about to save or display a chart, or when the user asks for a plot. Not a session owner. Not for skore/sklearn Display plots that already exist on a report. HOW TO USE: first match on the tree (owned plot, interactive iframe HTML, seaborn statistical, pandas chart, else matplotlib). In a notebook: save PNG (or HTML) then leave the figure as the cell output; never `plt.close`. Convert polars at the plot boundary. Missing lib → add-python-package. Confirm symbols with `api get`. The caller names the figure directory.
Plot ML Figure
Worker. Callers own the file and the turn. Do not git end-turn.
Details: references/when.md.
Sequence
- If a skore report or sklearn Display already plots this, use it. Stop.
- If interactivity (hover, zoom, pan) is the requirement:
Plotly Express. Write
<caller-figure-dir>/<slug>.htmlwithinclude_plotlyjs=True(inline, offline).explore-ml-datausesdata_analysis/. Do not overwrite that caller’s owned HTML (e.g.data_analysis_<slug>.html). The caller embeds<iframe src="<slug>.html" width="100%" height="640"></iframe>in its markdown beside the implication. Do not add kaleido unless the user asked to export a static image. No Dash. Do not use a CDN. - If the plot is statistical on a tidy DataFrame (distribution,
categorical compare, relationship, heatmap, pairplot, facet):
seaborn figure-level when a notebook will display it
(
displot,relplot,catplot,pairplot,heatmapviaFacetGrid/ axes only if already on a grid). Not aplt.subplotsloop and not aforover columns with a trailingg. One figure-level call as the last expression; facet withcol=/col_wrap. Save PNG, leave the figure/grid as the last expression. Neverplt.close. - If it is a simple Series/DataFrame
bar/line/hist/areafrom the index or a few columns, no statistical overlay:df.plot(...). Save the figure (ax.figure.savefig(...)), leaveax.figure(or the axes) visible. Neverplt.close. - Else matplotlib. Last resort. In a notebook still save and
display; do not
plt.close.
Notebook cells: save for the caller markdown and show the
figure in the notebook. plt.close is for non-notebook scripts
only (evaluate/audit scratch probes if they are not notebooks).
Polars → pandas at the plot boundary. Missing import →
add-python-package if installed; else name the package and
return. api get before new symbols.
Missing this skill from a caller → that caller one-line skips and still follows this tree.
Stop conditions
- Do not write a long matplotlib script for a hist, box, or bar of a Series.
- Do not load
choose-python-libraryfor matplotlib vs seaborn vs plotly. - Do not
pixi add/uv add/env add. - Do not install plotly on the default EDA path.
- Do not
plt.closea figure that should appear in a notebook.
© probabl-ai, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/plot-ml-figure of probabl-ai/skills.
- SKILL.md
- evals/evals.json
- references/when.md
Open the folder on GitHubat commit 73564e4
Compare with similar skills
Plot ML Figure 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 |
|---|---|---|---|---|---|---|
| Plot ML Figure this skillprobabl-ai/skills | 137 | — | ~785 | Automated safety check: Pass | BSD-3-Clause | |
| Analytics Data AnalysisMindrally/skills | 268 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| SeabornK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.4k | Automated safety check: Notes | BSD-3-Clause | |
| Data Sciencemajiayu000/claude-skill-registry | 666 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Release Evidence WorkflowAli-Marandi/ClimateDataAnalyzer | 107 | — | ~1.6k | Automated safety check: Pass | MIT |
Similar skills
Seaborn
K-Dense-AI/scientific-agent-skills
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.
Data Science
majiayu000/claude-skill-registry
A skill your agent uses when performing exploratory data analysis, statistical testing, data visualization, or building predictive models.
Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Release Evidence Workflow
Ali-Marandi/ClimateDataAnalyzer
Build an auditable release-evidence workflow for a desktop or packaged application.
Hybrid-Engine Data Analysis
code-yeongyu/oh-my-openagent
Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.
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Related
Categories
Questions about Plot ML Figure
What does Plot ML Figure do?
Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. Plot ML Figure is an agent skill from probabl-ai/skills. Pick how to write a figure before custom plot code.
When should I use Plot ML Figure?
Plot ML Figure fits situations like: explore-ml-data; evaluate-ml-pipeline; audit-ml-pipeline is about to save; display a chart.
How do I install Plot ML Figure in Claude Code?
Run `npx skills add probabl-ai/skills --skill plot-ml-figure -a claude-code`. Or copy the skill folder (skills/plot-ml-figure in probabl-ai/skills) into .claude/skills/plot-ml-figure in your project. Claude Code loads it when a task matches its description.
How do I install Plot ML Figure in Codex?
Run `npx skills add probabl-ai/skills --skill plot-ml-figure -a codex`. Or copy the skill folder (skills/plot-ml-figure in probabl-ai/skills) into .agents/skills/plot-ml-figure in your project. Codex loads it when a task matches its description.
Can I use Plot ML Figure 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 probabl-ai/skills --skill plot-ml-figure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plot-ml-figure, .gemini/skills/plot-ml-figure, .github/skills/plot-ml-figure and .opencode/skills/plot-ml-figure in your project.
What does Plot ML Figure need to run?
Going by SKILL.md and its folder, Plot ML Figure needs the command-line tools its instructions call (git and uv).
Does Plot ML Figure access the network?
SKILL.md contains no URLs. Its commands use git and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Plot ML Figure 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 Plot ML Figure use?
Plot ML Figure is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Plot ML Figure use?
About 785 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 505 tokens, read only when the agent opens those files.
What are the alternatives to Plot ML Figure?
Skills that share tags, products or a category with Plot ML Figure: Analytics Data Analysis (Mindrally/skills, 268 stars), Seaborn (K-Dense-AI/scientific-agent-skills, 48k stars), Data Science (majiayu000/claude-skill-registry, 666 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Plot ML Figure?
probabl-ai (a GitHub organization) maintains it in probabl-ai/skills, which has 137 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 2026.
Source: probabl-ai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.