Jq

OrganizationPopular

charmbracelet

Use when the user needs to query, filter, reshape, extract, create, or construct JSON data — including API responses, config files, log output, or any structured data — or when helping the user write or debug JSON transformations.

Overview

Publisher	charmbracelet
Repository	`crush`
Skill name	`jq`
Stars	28.1K
Forks	2.3K
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by charmbracelet on GitHub. Read the source before you install it.

Installation

Install the Jq AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/charmbracelet/crush.git /tmp/crush
mkdir -p .claude/skills
cp -r /tmp/crush/internal/skills/builtin/jq .claude/skills/jq

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jq in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Jq on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Jq is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

jq — Built-in JSON Processor

Crush ships a built-in jq command (via github.com/itchyny/gojq) available in the bash tool. No external binary is required.

Supported Flags

Flag	Description
`-r`, `--raw-output`	Output strings without quotes
`-j`, `--join-output`	Like `-r` but no trailing newline
`-c`, `--compact-output`	One-line JSON output
`-s`, `--slurp`	Read all inputs into an array
`-n`, `--null-input`	Use `null` as input (ignore stdin)
`-e`, `--exit-status`	Exit 1 if last output is `false` or `null`
`-R`, `--raw-input`	Read each line as a string, not JSON
`--arg name value`	Bind `$name` to a string value
`--argjson name value`	Bind `$name` to a parsed JSON value

File arguments after the filter are also supported: jq '.foo' file.json.

Differences from Standard jq

The built-in uses gojq, which is a pure-Go jq implementation. Key differences:

No object key ordering — keys are sorted by default; keys_unsorted and -S are unavailable.
Arbitrary-precision integers — large integers keep full precision (addition, subtraction, multiplication, modulo, division when divisible).
String indexing — "abcde"[2] returns "c".
Not supported — --ascii-output, --seq, --stream, --stream-errors, -f/--from-file, --slurpfile, --rawfile, --args, --jsonargs, input_line_number, $__loc__, some regex features (backreferences, look-around).
YAML — gojq supports --yaml-input/--yaml-output but the built-in does not currently expose these flags.

Common Patterns

Extract a field:

sh
echo '{"name":"crush"}' | jq '.name'

Filter an array:

sh
echo '[1,2,3,4,5]' | jq '[.[] | select(. > 3)]'

Reshape objects:

sh
echo '{"first":"Ada","last":"Lovelace"}' | jq '{full: (.first + " " + .last)}'

Use variables:

sh
echo '{}' | jq --arg host localhost --argjson port 8080 '{host: $host, port: $port}'

Slurp multiple JSON values:

sh
echo '{"a":1}{"b":2}' | jq -s '.'

Compact output for piping:

sh
echo '{"a":1}' | jq -c '.a += 1'

Raw string output:

sh
echo '["one","two","three"]' | jq -r '.[]'

Process a file:

sh
jq '.dependencies | keys' package.json

Null input for constructing JSON:

sh
jq -n --arg msg hello '{"message": $msg}'

Tips

Pipe jq output to other commands: jq -r '.url' data.json | xargs curl
Chain filters with | inside the expression, not shell pipes.
Use try to suppress errors on missing keys: jq 'try .foo.bar'
Use // "default" for fallback values: jq '.name // "unknown"'
Use @csv, @tsv, @base64, @html, @uri for format strings.

Frequently asked questions

What does the Jq AI skill do?

Why use Jq on TypingMind?

Because you install it once and use it with any model. Jq is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Jq in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/charmbracelet/crush/tree/main/internal/skills/builtin/jq. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Jq?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Jq?

As many as you like. As long as a model supports skills, you can use Jq with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Jq AI skill free?

It is published on GitHub by charmbracelet. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

jq — Built-in JSON Processor

Supported Flags

Differences from Standard jq

Common Patterns

Tips

Frequently asked questions

Related AI Skills

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