Open CLI

jq

scriptabledata
$ brew install jq
Summary

JSON processing, apis, and agent output parsing from the terminal.

  • jq fits data & db well, especially for json processing, apis, and agent output parsing from the terminal.
  • 69,818 homebrew installs (30d).
  • Good for scripts and agents.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Structured output is available for automation and parsing.
database-jq-SKILL.md

Jq guide

JSON processing, apis, and agent output parsing from the terminal. Built by jqlang. Supports structured output — good for scripts and agents.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • json processing, apis, and agent output parsing from the terminal.
  • You want data processing you can script with structured output.
  • You need json processing.
  • You need apis.
  • You need agent output parsing.

Quick reference

Installbrew install jq
Verifyjq --version
First real commandcat package.json | jq '.scripts'

Open CLI × skills.sh

Open CLI integrates jq with the right skills.sh companions so you get the tool and the workflow together.

Data Analysis

Recommended pairing

Open CLI recommends this skills.sh skill because it fits data workflows. Turn query output and flat files into usable insights faster.

View on skills.sh
$ npx skills add https://github.com/supercent-io/skills-template --skill data-analysis
Starter prompt

Use jq together with the Data Analysis skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.

Also useful from skills.sh
Codebase Searchskills.shWorkflow Automationskills.sh

Why this tool

  • jq fits data & db well, especially for json processing, apis, and agent output parsing from the terminal.
  • 69,818 homebrew installs (30d).
  • Good for scripts and agents.

Watch-outs

  • Run the verify command first.

Example workflow

1. cat package.json | jq '.scripts'

Safe start

Step 1

Install jq.

Step 2

Run `jq --version` first.

Step 3

Start with `cat package.json | jq '.scripts'`.

Step 4

Install a CLI that matches your database engine.

Alternatives worth considering

http

API testing, readable http, and debugging endpoints from the terminal.

yq

YAML processing, config edits, and kubernetes files from the terminal.

duckdb

Local analytics, sql, and csv/parquet queries from the terminal.