How does this skill improve Nushell pipeline handling?

It provides specific guidance on the critical distinction between pipeline input ($in) and function parameters, preventing common errors related to lazy vs. eager evaluation.

Does it include patterns for data structure manipulation?

Yes, the skill covers comprehensive patterns for records, lists, and tables, including merging, updating, filtering, and grouping data efficiently.

Can this skill help with error handling in scripts?

Absolutely. It includes patterns for try-catch blocks, custom error creation, and handling external command failures using the 'complete' command.

Is this skill up to date with modern Nushell versions?

The skill is specifically optimized for Nushell version 0.100 and above, ensuring compatibility with the latest syntax and features.

How does it handle Nushell's type system?

The skill provides a complete guide to type signatures, including how to declare input/output types for functions and closures to catch errors early.

Nushell Usage Patterns

Name: Nushell Usage Patterns
Author: YPares

byYPares

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开发者工具

Masters Nushell scripting with idiomatic patterns, type-safe signatures, and efficient pipeline workflows.

关于

This skill provides a deep-dive reference for writing idiomatic Nushell code, helping AI assistants navigate the language's unique type system and pipeline architecture. It covers critical distinctions such as the difference between eager parameters and lazy pipeline input, comprehensive data structure manipulation for records and tables, and robust error handling techniques. By implementing these patterns, users can ensure their Nushell scripts are performant, maintainable, and leverage the full power of Nushell's streaming data model.

主要功能

2 GitHub stars
Idiomatic patterns for Nushell pipelines and data structures
Type-safe function signatures and signature declarations
Advanced record, list, and table manipulation techniques
Guidance on module organization and scoping rules
Robust error handling and null-safety best practices

使用场景

Refactoring legacy Bash scripts into modern, structured Nushell workflows
Developing complex automation scripts with type-safe data processing
Building high-performance data pipelines using lazy evaluation and streaming

关于

主要功能

2 GitHub stars
Idiomatic patterns for Nushell pipelines and data structures
Type-safe function signatures and signature declarations
Advanced record, list, and table manipulation techniques
Guidance on module organization and scoping rules
Robust error handling and null-safety best practices

使用场景

Refactoring legacy Bash scripts into modern, structured Nushell workflows
Developing complex automation scripts with type-safe data processing
Building high-performance data pipelines using lazy evaluation and streaming