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nu-shell

Process structured data through pipelines and transform JSON, CSV, and YAML.

68|1|Updated Jan 14, 2026
Search Tags:#JSON#YAML#pipelines#CSV#data-transformation#structured-data#nu-shell
One-click install
npx skills add https://github.com/knoopx/pi --skill nu-shell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nu-shell
Source: https://github.com/knoopx/pi/tree/main/agent/skills/nu-shell
Command: npx skills add https://github.com/knoopx/pi --skill nu-shell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

nu-shell provides a structured data scripting environment to automate pipelines, filter tables, and transform JSON, CSV, and YAML, reducing manual data wrangling.

Core Features & Use Cases

  • Pipelines and filtering: Compose data processing flows using pipes and concise queries.
  • Table and record handling: Work with tables, lists, and records in a type-aware way.
  • Custom commands and scripting: Define and execute domain-specific commands to automate repetitive tasks.
  • Use Case: Automate the transformation of a JSON list into a CSV report for quarterly analytics.

Quick Start

Start by running a simple inline Nu expression such as nu -c 'ls | length' or place your script in a file (myscript.nu) and run nu myscript.nu

Frequently Asked Questions about nu-shell

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transform JSON data into a CSV report using pipelines?▼

You can pipe structured JSON data through Nu shell filtering commands to transform it into a CSV file, automating report generation without manual data wrangling. It enables type-aware table handling for seamless ETL workflows.

What is the best way to automate filtering tables in structured data?▼

The best way to automate filtering tables in structured data is by using a structured data scripting environment with pipe-based pipelines. This allows you to compose data processing flows and filter tables concisely without manual intervention.

Does this data transformation approach work with YAML and CSV files?▼

Yes, this pipeline approach fully supports transforming YAML and CSV files. The environment provides type-aware handling for structured data, allowing you to process, filter, and convert between these formats seamlessly within your scripts.

How do I define custom commands for data wrangling automation?▼

You define custom commands for data wrangling automation by writing a Nu shell script file. This enables you to create and execute domain-specific commands that automate repetitive structured data processing tasks and ETL workflows.

Can I run inline expressions for quick structured data queries?▼

Yes, you can run inline expressions for quick structured data queries by passing commands directly via the command line interface. This allows you to instantly pipe and filter records without creating a separate script file.

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