Plot Ml Figure logo

Plot Ml Figure

Organization
probabl-ai
plot-ml-figure

Pick pandas, seaborn, plotly, or matplotlib before writing figure 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.

Overview

Publisherprobabl-ai
Repositoryskore-skills
Skill nameplot-ml-figure
Stars
144
Forks
9
Bundled files
2
LicenseBSD-3-Clause
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by probabl-ai on GitHub. Read the source before you install it.

Installation

Install the Plot Ml Figure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/probabl-ai/skore-skills/tree/main/skills/plot-ml-figure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/probabl-ai/skore-skills.git /tmp/skore-skills
mkdir -p .claude/skills
cp -r /tmp/skore-skills/skills/plot-ml-figure .claude/skills/plot-ml-figure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plot Ml Figure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plot Ml Figure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plot Ml Figure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plot ML Figure

Worker. Callers own the file and the turn. Do not git end-turn.

Details: references/when.md.

Sequence

  1. If a skore report or sklearn Display already plots this, use it. Stop.
  2. If interactivity (hover, zoom, pan) is the requirement: Plotly Express. Write <caller-figure-dir>/<slug>.html with include_plotlyjs=True (inline, offline). explore-ml-data uses data_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.
  3. 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, heatmap via FacetGrid / axes only if already on a grid). Not a plt.subplots loop and not a for over columns with a trailing g. One figure-level call as the last expression; facet with col= / col_wrap. Save PNG, leave the figure/grid as the last expression. Never plt.close.
  4. If it is a simple Series/DataFrame bar / line / hist / area from the index or a few columns, no statistical overlay: df.plot(...). Save the figure (ax.figure.savefig(...)), leave ax.figure (or the axes) visible. Never plt.close.
  5. 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-library for 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.close a figure that should appear in a notebook.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plot Ml Figure AI skill do?

Pick pandas, seaborn, plotly, or matplotlib before writing figure 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....

Why use Plot Ml Figure on TypingMind?

Because you install it once and use it with any model. Plot Ml Figure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plot Ml Figure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/probabl-ai/skore-skills/tree/main/skills/plot-ml-figure. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plot Ml Figure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plot Ml Figure?

As many as you like. As long as a model supports skills, you can use Plot Ml Figure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plot Ml Figure AI skill free?

Yes. It is published on GitHub by probabl-ai under the BSD-3-Clause license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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