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Nushell

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ryoppippi
nushell

Write idiomatic, functional Nushell — the default language for shell scripts here. Use when writing or reviewing any new script, .nu files, `shell: nu {0}` CI steps, or when porting bash/POSIX shell to Nushell.

Overview

Publisherryoppippi
Repositorydotfiles
Skill namenushell
Stars
263
Forks
5
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ryoppippi on GitHub. Read the source before you install it.

Installation

Install the Nushell 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.
  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/ryoppippi/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/agents/skills/nushell .claude/skills/nushell
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nushell 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 Nushell 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 Nushell 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.

Nushell

Nushell is a functional, structured-data language that happens to be a shell. Write it that way: pipelines of transformations over records and tables, not bash with different syntax.

Why Nushell

Functional over structured data: JSON, ls, and command output stay records through the whole pipeline instead of being re-parsed as text. So no jq/sed/awk/date to install, wrap, or write twice for macOS and Linux — and Nix pins the interpreter.

Which language to pick for a given script is in the repo's AGENTS.md.

Steps

  1. Read the docs for the topic at hand (see below) before writing any Nushell.
  2. Write the code functionally — see Rules.
  3. Verify every construct against the installed version before claiming it works. Nushell breaks and renames things between minor releases, so do not trust memory of a command's signature:
    sh
    nu --version
    nu -c '<snippet>'          # run a snippet
    nu --ide-check 10 <file>   # parse/typecheck a script
    nu -c 'help <command>'     # check a signature
  4. Format before committing:
    sh
    nufmt <file>             # rewrites in place
    nufmt --dry-run <file>   # non-zero exit if it would change

Docs

Read before writing:

Every page of the book is in the sidebar of those, as are /commands/, /cookbook/, and /lang-guide/. Follow the sidebar to whatever the task needs instead of guessing.

Rules

Functional style is the default. In review, treat each of these as a defect to fix:

  • mut + for as an accumulator. Replace with reduce, each, where, group-by, zip, flatten, insert/update, generate. mut is legitimate only for genuinely sequential state that no filter expresses.
  • String plumbing between steps. Pass records and tables. Serialise once at the boundary (to json --raw), parse once on the way in (from json).
  • Nested if/else chains on a value's shape. Use match, including list patterns ([], [$first, ..$rest]) and guards.
  • Reimplementing a builtin. Check https://www.nushell.sh/commands/categories/filters.html first.
  • Shelling out for data. Prefer native commands over ^jq, ^sed, ^awk, ^date. When an external command is genuinely needed, pipe its output through from json etc. immediately.
  • Bare each for effects. If the result is unused, say so with | ignore; if it produces values, keep them in the pipeline.

Also:

  • Give every script a def main.
  • Type custom command signatures — parameter types, --flag, and the return type. They document intent and are checked at parse time. nufmt strips a redundant : any; leave it stripped.
  • Timestamps are datetime, durations are duration. Compare and subtract them directly instead of formatting to strings. Convert explicitly to UTC (| date to-timezone UTC) when the value crosses a boundary that expects it.
  • Fail loudly with error make rather than returning a sentinel value.

In this repo

  • CI workflow steps run Nushell via shell: nu {0} with hustcer/setup-nu. See .github/workflows/_update-flake-reusable.yaml for the established style.
  • Pin the interpreter. Workflows pass an explicit version: to setup-nu; keep doing that, or a Nushell release will break a script that never changed.
  • Standalone scripts live alongside their consumer, e.g. nix/packages/git-wtpr/git-wtpr.nu.
  • Neither nu nor nufmt is on the interactive PATH; use the missing-tools skill to reach them.

Frequently asked questions

What does the Nushell AI skill do?

Write idiomatic, functional Nushell — the default language for shell scripts here. Use when writing or reviewing any new script, .nu files, `shell: nu {0}` CI steps, or when porting bash/POSIX shell to Nushell.

Why use Nushell on TypingMind?

Because you install it once and use it with any model. Nushell 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 Nushell in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ryoppippi/dotfiles/tree/main/agents/skills/nushell. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nushell?

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 Nushell?

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

Is the Nushell AI skill free?

Yes. It is published on GitHub by ryoppippi under the MIT 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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