jq

Extract specific fields from large JSON files using jq queries.

20|2|Updated Oct 18, 2025

Search Tags:#cli #json #scripting #jq #data-extraction #nested-fields

Ready to run

npx skills add https://github.com/xdg/xdg-claude --skill jq-xdg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jq
Source: https://github.com/xdg/xdg-claude/tree/main/context-efficient-tools/skills/jq
Command: npx skills add https://github.com/xdg/xdg-claude --skill jq-xdg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

JSON data often resides in large files where only a few fields are needed. This skill teaches how to extract exact fields from JSON without loading the entire file, saving time and reducing context usage.

Core Features & Use Cases

Fast field extraction from nested structures without parsing entire payloads.
Use default values with the // operator to handle missing fields gracefully.
Chain queries and pipe results to shell commands for automation and reporting.

Quick Start

Show me how to extract the version from package.json using jq.

Frequently Asked Questions about jq

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

FAQPage Schema

How do I extract specific fields from a large JSON file without loading the entire content?▼

You can extract specific fields from large JSON files by using jq to query nested structures directly, preventing the entire payload from loading and saving context usage. This allows fast field extraction from configuration files and API responses.

How do I handle missing fields when parsing JSON data with jq?▼

To handle missing fields when parsing JSON data with jq, use the // operator to provide default fallback values. This ensures your script processes queries gracefully even when expected nested fields are absent from the JSON document.

Can I pipe jq query results to shell commands for automation and reporting?▼

Yes, you can chain jq queries and pipe the extracted JSON results directly to other shell commands for automation and reporting. This enables streamlined data extraction and processing workflows within your scripts.

Does jq support extracting data from nested arrays in API responses?▼

Yes, jq supports array processing and nested field access for extracting data from API responses. It enables you to target specific elements within deeply nested JSON structures without parsing the entire document.

What is the best way to get a subset of data from a JSON API response?▼

The best way to get a subset of data from a JSON API response is using jq to query exact fields without loading the entire payload. This minimizes context usage and speeds up data extraction from large documents.

Do I need jq installed to extract nested fields from JSON configuration files?▼

Yes, you need jq installed locally to use this field extraction approach for JSON configuration files. The skill requires the jq command-line processor to parse nested structures and apply default fallback operators.