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Nushell Pro

  • 673 installs
  • 12 repo stars
  • Updated August 4, 2026
  • hustcer/nushell-craft

nushell-pro is a Claude agent skill that replaces brittle bash scripts with robust, typed Nushell pipelines that coding agents can reliably edit and extend for shell automation workflows.

About

nushell-pro is an agent skill from hustcer/nushell-craft that teaches idiomatic Nushell scripting so developers and coding agents can replace fragile bash with typed, structured pipelines. The skill covers writing, reviewing, and extending .nu scripts with Nushell's data-first design, making automation easier for agents to parse and modify safely. Developers reach for nushell-pro when shell scripts break under agent edits, when data transformations need structured tables instead of string parsing, or when converting POSIX bash to maintainable Nushell modules. With 6 installs on Skills.sh in the nushell-craft bundle, nushell-pro is a focused niche skill for teams standardizing on Nushell for CLI automation alongside AI coding agents.

  • Brings full Nushell language server and advanced completions into Claude Code, Cursor and Codex
  • Converts complex shell one-liners into readable, testable Nushell scripts
  • Enables safe filesystem, git, and API operations with structured data handling
  • Reduces token usage by producing concise, declarative automation code
  • Works with both local and remote Nushell environments

Nushell Pro by the numbers

  • 673 all-time installs (skills.sh)
  • Ranked #360 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/hustcer/nushell-craft --skill nushell-pro

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Listed on Skillselion
Installs673
repo stars12
Last updatedAugust 4, 2026
Repositoryhustcer/nushell-craft

How do you write agent-editable shell automation in Nushell?

Replace brittle bash scripts with robust, typed Nushell pipelines that agents can reliably edit and extend.

Who is it for?

Developers and agent workflows that automate data tasks with Nushell and need typed pipelines instead of fragile bash string parsing.

Skip if: Teams committed to POSIX bash-only environments or projects with no shell scripting or CLI automation requirements.

When should I use this skill?

A developer or agent is writing, reviewing, refactoring, or converting bash scripts to idiomatic typed Nushell pipelines.

What you get

Idiomatic .nu scripts, typed pipeline modules, and refactored Nushell replacements for brittle bash automation.

  • .nu pipeline scripts
  • refactored shell modules

By the numbers

  • 6 Skills.sh installs in hustcer/nushell-craft

Files

SKILL.mdMarkdownGitHub ↗

Nushell Pro — Best Practices & Security Skill

Write idiomatic, performant, secure, and maintainable Nushell scripts. This skill enforces Nushell conventions, catches security issues, and helps avoid common pitfalls.

Core Principles

1. Think in pipelines — Data flows through pipelines; prefer functional transformations over imperative loops 2. Immutability first — Use let by default; only use mut when functional alternatives don't apply 3. Structured data — Nushell works with tables, records, and lists natively; leverage structured data over string parsing 4. Static parsing — All code is parsed before execution; source/use require parse-time constants 5. Implicit return — The last expression's value is the return value; no need for echo or return 6. Scoped environment — Environment changes are local to their block; use def --env when caller-side changes are needed 7. Type safety — Annotate parameter types and input/output signatures for better error detection and documentation 8. Parallel ready — Immutable code enables easy par-each parallelization

Critical: Pipeline Input vs Parameters

Pipeline input (`$in`) is NOT interchangeable with function parameters!

# WRONG — treats pipeline data as first parameter
def my-func [items: list, value: any] {
    $items | append $value
}

# CORRECT — declares pipeline signature
def my-func [value: any]: list -> list {
    $in | append $value
}

# Usage
[1 2 3] | my-func 4  # Works correctly

Why this matters:

  • Pipeline input can be lazily evaluated (streaming)
  • Parameters are eagerly evaluated (loaded into memory)
  • Different calling conventions entirely — $list | func arg vs func $list arg

Type signature forms

def func [x: int] { ... }                    # params only
def func []: string -> int { ... }           # pipeline only
def func [x: int]: string -> int { ... }     # both pipeline and params
def func []: [list -> list, string -> list] { ... }  # multiple I/O types

Naming Conventions

EntityConventionExample
Commandskebab-casefetch-user, build-all
Subcommandskebab-case"str my-cmd", date list-timezone
Flagskebab-case--all-caps, --output-dir
Variables/Paramssnake_case$user_id, $file_path
Environment varsSCREAMING_SNAKE_CASE$env.APP_VERSION
Constantssnake_caseconst max_retries = 3
  • Prefer full words over abbreviations unless widely known (url ok, usr not ok)
  • Flag variable access replaces dashes with underscores: --all-caps -> $all_caps

Formatting Rules

One-line format (default for short expressions)

[1 2 3] | each {|x| $x * 2 }
{name: 'Alice', age: 30}

Multi-line format (scripts, >80 chars, nested structures)

[1 2 3 4] | each {|x|
    $x * 2
}

[
    {name: 'Alice', age: 30}
    {name: 'Bob', age: 25}
]

Spacing rules

  • One space before and after |
  • No space before |params| in closures: {|x| ...} not { |x| ...}
  • One space after : in records: {x: 1} not {x:1}
  • Omit commas in lists: [1 2 3] not [1, 2, 3]
  • No trailing spaces
  • One space after , when used (closure params, etc.)

Custom Commands Best Practices

Type annotations and I/O signatures

# Fully typed with I/O signature
def add-prefix [text: string, --prefix (-p): string = 'INFO']: nothing -> string {
    $'($prefix): ($text)'
}

# Multiple I/O signatures
def to-list []: [
    list -> list
    string -> list
] {
    # implementation
}

Documentation with comments and attributes

# Fetch user data from the API
#
# Retrieves user information by ID and returns
# a structured record with all available fields.
@example 'Fetch user by ID' { fetch-user 42 }
@category 'network'
def fetch-user [
    id: int           # The user's unique identifier
    --verbose (-v)    # Show detailed request info
]: nothing -> record {
    # implementation
}

Parameter guidelines

  • Maximum 2 positional parameters; use flags for the rest
  • Provide both long and short flag names: --output (-o): string
  • Use default values: def greet [name: string = 'World']
  • Use ? for optional positional params: def greet [name?: string]
  • Use rest params for variadic input: def multi-greet [...names: string]
  • Use def --wrapped to wrap external commands and forward unknown flags

Environment-modifying commands

def --env setup-project [] {
    cd project-dir
    $env.PROJECT_ROOT = (pwd)
}

Data Manipulation Patterns

Working with records

{name: 'Alice', age: 30}          # Create record
$rec1 | merge $rec2                # Merge (right-biased)
[$r1 $r2 $r3] | into record       # Merge many records
$rec | update name {|r| $'Dr. ($r.name)' }  # Update field
$rec | insert active true          # Insert field
$rec | upsert count {|r| ($r.count? | default 0) + 1 }  # Update or insert
$rec | reject password secret_key  # Remove fields
$rec | select name age email       # Keep only these fields
$rec | items {|k, v| $'($k): ($v)' }  # Iterate key-value pairs
$rec | transpose key val           # Convert to table

Working with tables

$table | where age > 25                          # Filter rows
$table | insert retired {|row| $row.age > 65 }   # Add column
$table | rename -c {age: years}                   # Rename column
$table | group-by status --to-table               # Group by field
$table | transpose name data                      # Transpose rows/columns
$table | join $other_table user_id                 # Inner join
$table | join --left $other user_id                # Left join

Working with lists

$list | enumerate | where {|e| $e.index > 5 }     # Filter with index
$list | reduce --fold 0 {|it, acc| $acc + $it }   # Accumulate
$list | window 3                                   # Sliding window
$list | chunks 100                                 # Process in batches
$list | flatten                                    # Flatten nested lists

Null safety

$record.field?                    # Returns null if missing (no error)
$record.field? | default 'N/A'   # Provide fallback
if ($record.field? != null) { }   # Check existence
$list | default -e $fallback      # Default for empty collections

Pipeline & Functional Patterns

Prefer functional over imperative

# Bad — imperative with mutable variable
mut total = 0
for item in $items { $total += $item.price }

# Good — functional pipeline
$items | get price | math sum

# Bad — mutable counter
mut i = 0
for file in (ls) { print $'($i): ($file.name)'; $i += 1 }

# Good — enumerate
ls | enumerate | each {|it| $'($it.index): ($it.item.name)' }

Iteration patterns

# each: transform each element
$list | each {|item| $item * 2 }

# each --flatten: stream outputs (turns list<list<T>> into list<T>)
ls *.txt | each --flatten {|f| open $f.name | lines } | find 'TODO'

# each --keep-empty: preserve null results
[1 2 3] | each --keep-empty {|e| if $e == 2 { 'found' } }

# par-each: parallel processing (I/O or CPU-bound)
$urls | par-each {|url| http get $url }
$urls | par-each --threads 4 {|url| http get $url }

# reduce: accumulate (first element is initial acc if no --fold)
[1 2 3 4] | reduce {|it, acc| $acc + $it }

# generate: create values from arbitrary sources without mut
generate {|state| { out: ($state * 2), next: ($state + 1) } } 1 | first 5

Row conditions vs closures

# Row conditions — short-hand syntax, auto-expands $it
ls | where type == file              # Simple and readable
$table | where size > 100            # Expands to: $it.size > 100

# Closures — full flexibility, can be stored and reused
let big_files = {|row| $row.size > 1mb }
ls | where $big_files
$list | where {$in > 10}             # Use $in or parameter

Use row conditions for simple field comparisons; use closures for complex logic or reusable conditions.

Pipeline input with $in

def double-all []: list<int> -> list<int> {
    $in | each {|x| $x * 2 }
}

# Capture $in early when needed later (it's consumed on first use)
def process []: table -> table {
    let input = $in
    let count = $input | length
    $input | first ($count // 2)
}

Variable Best Practices

Prefer immutability

let config = (open config.toml)
let names = $config.users | get name

# Acceptable — mut when no functional alternative
mut retries = 0
loop {
    if (try-connect) { break }
    $retries += 1
    if $retries >= 3 { error make {msg: 'Connection failed'} }
    sleep 1sec
}

Constants for parse-time values

const lib_path = 'src/lib.nu'
source $lib_path                  # Works: const is resolved at parse time

let lib_path = 'src/lib.nu'
source $lib_path                  # Error: let is runtime only

Closures cannot capture mut

mut count = 0
ls | each {|f| $count += 1 }     # Error! Closures can't capture mut

# Solutions:
ls | length                       # Use built-in commands
[1 2 3] | reduce {|x, acc| $acc + $x }  # Use reduce
for f in (ls) { $count += 1 }    # Use a loop if mutation truly needed

String Conventions

Refer to String Formats Reference for the full priority and rules.

Quick summary (high to low priority):

1. Bare words in arrays: [foo bar baz] 2. Raw strings for regex: r#'(?:pattern)'# 3. Single quotes: 'simple string' 4. Single-quoted interpolation: $'Hello, ($name)!' 5. Double quotes only for escapes: "line1\nline2" 6. Double-quoted interpolation: $"tab:\t($value)\n" (only with escapes)

Modules & Scripts

Module structure

my-module/
├── mod.nu              # Module entry point
├── utils.nu            # Submodule
└── tests/
    └── mod.nu          # Test module

Export rules

  • Only export definitions are public; non-exported are private
  • Use export def main when command name matches module name
  • Use export use submodule.nu * to re-export submodule commands
  • Use export-env for environment setup blocks

Script with main command and subcommands

#!/usr/bin/env nu

# Build the project
def "main build" [--release (-r)] {
    print 'Building...'
}

# Run tests
def "main test" [--verbose (-v)] {
    print 'Testing...'
}

def main [] {
    print 'Usage: script.nu <build|test>'
}

For stdin access in shebang scripts: #!/usr/bin/env -S nu --stdin

Error Handling

Custom errors with span info

def validate-age [age: int] {
    if $age < 0 or $age > 150 {
        error make {
            msg: 'Invalid age value'
            label: {
                text: $'Age must be between 0 and 150, got ($age)'
                span: (metadata $age).span
            }
        }
    }
    $age
}

try/catch and graceful degradation

let result = try {
    http get $url
} catch {|err|
    print -e $'Request failed: ($err.msg)'
    null
}

# Use complete for detailed external command error info
let result = (^some-external-cmd | complete)
if $result.exit_code != 0 {
    print -e $'Error: ($result.stderr)'
}

Suppress errors with do -i

do -i (ignore errors) runs a closure and suppresses any errors, returning null on failure. do -c (capture errors) catches errors and returns them as values.

# Ignore errors — returns null if the closure fails
do -i { rm non_existent_file }

# Use as a concise fallback
let val = (do -i { open config.toml | get setting } | default 'fallback')

# Capture errors as values (instead of aborting the pipeline)
let result = (do -c { ^some-cmd })

When to use each approach:

  • do -i — Fire-and-forget, or when you only need a default on failure
  • do -c — Catch errors as values to abort downstream pipeline on failure
  • try/catch — When you need to inspect or log the error
  • complete — When you need exit code + stdout + stderr from external commands

Testing

Using std assert

use std/assert

for t in [[input expected]; [0 0] [1 1] [2 1] [5 5]] {
    assert equal (fib $t.input) $t.expected
}

Custom assertions

def "assert even" [number: int] {
    assert ($number mod 2 == 0) --error-label {
        text: $'($number) is not an even number'
        span: (metadata $number).span
    }
}

Debugging Techniques

$value | describe                 # Inspect type
$data | each {|x| print $x; $x } # Print intermediate values (pass-through)
timeit { expensive-command }      # Measure execution time
metadata $value                   # Inspect span and other metadata

Security Best Practices

Refer to Security Reference for the full guide.

Nushell is safer than Bash by design (no eval, arguments passed as arrays not through shell), but security risks remain.

Never execute untrusted input as code

# DANGEROUS — arbitrary code execution
^nu -c $user_input
source $user_provided_file

# DANGEROUS — shell interprets the string
^sh -c $'echo ($user_input)'
^bash -c $user_input

Separate commands from arguments (prevent injection)

# Bad — constructing command strings
let cmd = $'ls ($user_path)'
^sh -c $cmd

# Good — pass arguments directly (no shell interpretation)
^ls $user_path
run-external 'ls' $user_path

Validate and sanitize paths

# Bad — path traversal possible
def read-file [name: string] { open $name }

# Good — validate against traversal
def read-file [name: string, --base-dir: string = '.'] {
    let full = ($base_dir | path join $name | path expand)
    let base = ($base_dir | path expand)
    if not ($full | str starts-with $base) {
        error make {msg: $'Path traversal detected: ($name)'}
    }
    open $full
}

Protect credentials

# Bad — credential visible to all child processes and in env
$env.API_KEY = 'secret-key-123'
^curl -H $'Authorization: Bearer ($env.API_KEY)' $url

# Good — scope credentials, use with-env
with-env {API_KEY: (open ~/.secrets/api_key | str trim)} {
    ^curl -H $'Authorization: Bearer ($env.API_KEY)' $url
}

Safe file operations

# Bad — predictable temp file, race condition
let tmp = '/tmp/my-script-tmp'
'data' | save $tmp

# Good — use mktemp for unique temp files
let tmp = (^mktemp | str trim)
'data' | save $tmp
# ... use $tmp ...
rm $tmp

Handle external command errors

let result = (^cargo build o+e>| complete)
if $result.exit_code != 0 {
    error make {msg: $'Build failed: ($result.stderr)'}
}

Safe rm operations

# Bad — glob from variable, could match unintended files
^rm $'($user_dir)/*'

# Good — validate then use trash or explicit paths
if ($user_dir | path type) == 'dir' {
    rm -r $user_dir
}

Script Review Checklist

Refer to Script Review Reference for the full checklist.

When reviewing a Nushell script, check these categories in order:

1. Security review (highest priority)

  • [ ] No nu -c / source / ^sh -c with untrusted input
  • [ ] No credential hardcoding or env leaking
  • [ ] Paths from user input are validated (no traversal)
  • [ ] External commands use argument separation (not string concatenation)
  • [ ] Temp files use mktemp, not predictable paths
  • [ ] rm operations are guarded and intentional

2. Correctness review

  • [ ] Type annotations on all exported commands
  • [ ] I/O pipeline signatures match actual behavior
  • [ ] Error handling with try/catch for fallible operations
  • [ ] External commands checked with complete when error handling matters
  • [ ] Optional fields accessed with ? operator
  • [ ] No for as final expression (use each instead)
  • [ ] mut not captured in closures

3. Style review

  • [ ] Naming: kebab-case commands, snake_case variables
  • [ ] String format priority followed
  • [ ] Formatting: spacing, line length, multi-line rules
  • [ ] Documentation comments on exported commands
  • [ ] ^ prefix on external commands
  • [ ] Functional style preferred over imperative

4. Performance review

  • [ ] par-each for I/O or CPU-bound parallel work
  • [ ] each --flatten for streaming when appropriate
  • [ ] Expensive computations cached in let bindings
  • [ ] Large files streamed (lazy), not loaded entirely

Common Pitfalls

Refer to Anti-Patterns Reference for detailed explanations.

Anti-PatternFix
echo $valueJust $value (implicit return)
$"simple text"'simple text' (no interpolation needed)
for as final expressionUse each (for doesn't return a value)
mut for accumulationUse reduce or math sum
let path = ...; source $pathconst path = ...; source $path
"hello" > file.txt`'hello' \
grep patternwhere $it =~ pattern or built-in find
Parsing string outputUse structured commands (ls, ps, http get)
$env.FOO = bar inside defUse def --env
`{ \x \
$record.missing (error)$record.missing? (returns null)
each on single recordUse items or transpose instead
External cmd without ^Use ^grep to be explicit about externals

Best Practices Summary

1. Use type signatures — Catch errors early, improve documentation 2. Prefer pipelines — More idiomatic, composable, and streamable 3. Document with comments# above def for help integration 4. Export selectively — Don't pollute namespace 5. Use `default` — Handle null/missing gracefully 6. Validate inputs — Check types/ranges at function start 7. Return consistent types — Don't mix null and values unexpectedly 8. Use modules — Organize related functions 9. Prefix external commands with `^`^grep not grep; Nushell builtins take precedence (e.g., find is Nushell's, not Unix find) 10. Use external tools when faster^rg for large file search, ^jq for giant JSON

Workflow

When writing or reviewing Nushell code:

1. Read existing code to understand the context 2. Security audit — Check for injection, path traversal, credential leaks (see Security) 3. Check naming — kebab-case commands, snake_case variables 4. Check types — Add/verify type annotations and I/O signatures 5. Check strings — Follow the string format priority 6. Check patterns — Prefer functional pipelines over imperative loops 7. Check formatting — Spacing, line length, multi-line rules 8. Check documentation — Comments for exported commands, parameter descriptions 9. Check error handling — try/catch, complete for externals, validate inputs 10. Run validation if possible — nu -c 'source file.nu' or nu file.nu 11. Summarize changes made with security findings highlighted

References

  • Security — Security hardening, threat model, safe patterns
  • Script Review — Comprehensive review checklist
  • String Formats — String type priority and conversion rules
  • Anti-Patterns — Common mistakes with detailed fixes
  • Data & Type System — Type hierarchy, collections, conversions, type guards
  • Advanced Patterns — Performance, streaming, closures, memory efficiency
  • Modules & Scripts — Module system, testing, attributes
  • Bash to Nushell — Conversion guide from Bash/POSIX

Getting Help

  • Use nu -c 'help <command>' to check command signatures and examples
  • Use Nushell MCP tools for evaluating and testing Nushell code
  • Consult the Nushell Book for in-depth documentation

Related skills

How it compares

Pick nushell-pro over generic shell skills when automation must be typed Nushell pipelines optimized for agent editing rather than POSIX bash.

FAQ

What shell does nushell-pro target?

nushell-pro targets Nushell (.nu) scripts and pipelines. The skill helps developers replace bash automation with typed, structured Nushell that coding agents can edit more reliably.

When should developers choose Nushell over bash?

nushell-pro fits data-heavy CLI automation where typed tables and structured pipelines reduce string parsing bugs. POSIX-only environments without Nushell installed are poor fits.

How many installs does nushell-pro have?

nushell-pro reports 6 installs on Skills.sh within hustcer/nushell-craft, reflecting a small focused audience for Nushell agent scripting guidance.

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