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Export Ml Project

Organization
probabl-ai
export-ml-project

Coordinate executed notebooks and an offline MkDocs documentation site. Trigger on a generic "export" request, or to flip the notebooks/site gates after setup.

Overview

Publisherprobabl-ai
Repositoryskore-skills
Skill nameexport-ml-project
Stars
144
Forks
9
Bundled files
1
LicenseBSD-3-Clause
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 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 Export Ml Project 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/export-ml-project
  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/export-ml-project .claude/skills/export-ml-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Export Ml Project 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 Export Ml Project 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 Export Ml Project 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.

Export ML Project

Ordering only. Children own convert and site commands.

Human-facing prose

Details: setup-workspace references/human_facing_prose.md. The multi-select uses Executed notebooks and Documentation site. Do not put skill ids, convert flags, or the wrapper CLI in the question.

Sequence

  1. python -m skore_skills status. Read policy.notebooks, policy.site, and skills.

  2. AskUserQuestion with allow_multiple. Say first, in 2–4 lines, what each box authorizes (toolchain installs, convert re-execution, a built site), the recorded flags (policy.notebooks and policy.site: true, false, or not recorded), and that both answers persist as policy. A file link is an addition, never the context. The question's last line is exactly: Select each one you want. Write nothing after that line.

    • Executed notebooks
    • Documentation site

  3. After the answer, and not in the question, persist each box this turn: selected → python -m skore_skills policy set notebooks true (or site); a box the user does not select → false. Do not leave them null. Do not write notebooks or site into JOURNAL; policy is the record.

  4. Load each selected child only if status.skills.<id> is true; else one-line skip. Do not invent that skill's steps:

    • notebooks → export-ml-notebook (installs toolchain if this is the first yes, then convert; --html only if the user wants the notebook viewer on the site)
    • site → export-ml-site (installs mkdocs-material if first yes, init if needed, then build; never convert)

  5. Load triage-ml-task only if status.skills.triage-ml-task is true; else stop.

Stop conditions

  • Do not git end-turn or git commit.
  • Do not invent convert or mkdocs steps when the child skill is missing.
  • Do not pixi add / uv add from this coordinator.

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 Export Ml Project AI skill do?

Coordinate executed notebooks and an offline MkDocs documentation site. Trigger on a generic "export" request, or to flip the notebooks/site gates after setup.

Why use Export Ml Project on TypingMind?

Because you install it once and use it with any model. Export Ml Project 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 Export Ml Project in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/probabl-ai/skore-skills/tree/main/skills/export-ml-project. 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 Export Ml Project?

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 Export Ml Project?

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

Is the Export Ml Project 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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