Jq

jq — JSON Querying and Transformation

Selective Reading Rule

Start with:

• references/senior-master-standard.md
• references/usage-routing.md
• references/quality-checklist.md

Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.

Overview

jq is the standard CLI tool for querying and reshaping JSON. This skill covers practical, expert-level usage: filtering deeply nested data, transforming structures, aggregating values, and composing jq into shell pipelines. Every example is copy-paste ready for real workflows.

When to Use This Skill

• Use when parsing JSON output from APIs, CLI tools (AWS, GitHub, kubectl, docker), or log files
• Use when transforming JSON structure (rename keys, flatten arrays, group records)
• Use when the user needs jq inside a bash script or one-liner
• Use when explaining what a complex jq expression does

How It Works

jq takes a filter expression and applies it to JSON input. Filters compose with pipes (|), and jq handles arrays, objects, strings, numbers, booleans, and null natively.

Basic Selection

# Extract a field
echo '{"name":"alice","age":30}' | jq '.name'
# "alice"

# Nested access
echo '{"user":{"email":"a@b.com"}}' | jq '.user.email'

# Array index
echo '[10, 20, 30]' | jq '.[1]'
# 20

# Array slice
echo '[1,2,3,4,5]' | jq '.[2:4]'
# [3, 4]

# All array elements
echo '[{"id":1},{"id":2}]' | jq '.[]'

Filtering with select

# Keep only matching elements
echo '[{"role":"admin"},{"role":"user"},{"role":"admin"}]' \
  | jq '[.[] | select(.role == "admin")]'

# Numeric comparison
curl -s https://api.github.com/repos/owner/repo/issues \
  | jq '[.[] | select(.comments > 5)]'

# Test a field exists and is non-null
jq '[.[] | select(.email != null)]'

# Combine conditions
jq '[.[] | select(.active == true and .score >= 80)]'

Mapping and Transformation

# Extract a field from every array element
echo '[{"name":"alice","age":30},{"name":"bob","age":25}]' \
  | jq '[.[] | .name]'
# ["alice", "bob"]

# Shorthand: map()
jq 'map(.name)'

# Build a new object per element
jq '[.[] | {user: .name, years: .age}]'

# Add a computed field
jq '[.[] | . + {senior: (.age > 28)}]'

# Rename keys
jq '[.[] | {username: .name, email_address: .email}]'

Aggregation and Reduce

# Sum all values
echo '[1, 2, 3, 4, 5]' | jq 'add'
# 15

# Sum a field across objects
jq '[.[].price] | add'

# Count elements
jq 'length'

# Max / min
jq 'max_by(.score)'
jq 'min_by(.created_at)'

# reduce: custom accumulator
echo '[1,2,3,4,5]' | jq 'reduce .[] as $x (0; . + $x)'
# 15

# Group by field
jq 'group_by(.department)'

# Count per group
jq 'group_by(.status) | map({status: .[0].status, count: length})'

String Interpolation and Formatting

# String interpolation
jq -r '.[] | "\(.name) is \(.age) years old"'

# Format as CSV (no header)
jq -r '.[] | [.name, .age, .email] | @csv'

# Format as TSV
jq -r '.[] | [.name, .score] | @tsv'

# URL-encode a value
jq -r '.query | @uri'

# Base64 encode
jq -r '.data | @base64'

Working with Keys and Paths

# List all top-level keys
jq 'keys'

# Check if key exists
jq 'has("email")'

# Delete a key
jq 'del(.password)'

# Delete nested keys from every element
jq '[.[] | del(.internal_id, .raw_payload)]'

# Recursive descent: find all values for a key anywhere in tree
jq '.. | .id? // empty'

# Get all leaf paths
jq '[paths(scalars)]'

Conditionals and Error Handling

# if-then-else
jq 'if .score >= 90 then "A" elif .score >= 80 then "B" else "C" end'

# Alternative operator: use fallback if null or false
jq '.nickname // .name'

# try-catch: skip errors instead of halting
jq '[.[] | try .nested.value catch null]'

# Suppress null output with // empty
jq '.[] | .optional_field // empty'

Practical Shell Integration

# Read from file
jq '.users' data.json

# Compact output (no whitespace) for further piping
jq -c '.[]' records.json | while IFS= read -r record; do
  echo "Processing: $record"
done

# Pass a shell variable into jq
STATUS="active"
jq --arg s "$STATUS" '[.[] | select(.status == $s)]'

# Pass a number
jq --argjson threshold 42 '[.[] | select(.value > $threshold)]'

# Slurp multiple JSON lines into an array
jq -s '.' records.ndjson

# Multiple files: slurp all into one array
jq -s 'add' file1.json file2.json

# Null-safe pipeline from a command
kubectl get pods -o json | jq '.items[] | {name: .metadata.name, status: .status.phase}'

# GitHub CLI: extract PR numbers
gh pr list --json number,title | jq -r '.[] | "\(.number)\t\(.title)"'

# AWS CLI: list running instance IDs
aws ec2 describe-instances \
  | jq -r '.Reservations[].Instances[] | select(.State.Name=="running") | .InstanceId'

# Docker: show container names and images
docker inspect $(docker ps -q) | jq -r '.[] | "\(.Name)\t\(.Config.Image)"'

Advanced Patterns

# Transpose an object of arrays to an array of objects
# Input: {"names":["a","b"],"scores":[10,20]}
jq '[.names, .scores] | transpose | map({name: .[0], score: .[1]})'

# Flatten one level
jq 'flatten(1)'

# Unique by field
jq 'unique_by(.email)'

# Sort, deduplicate and re-index
jq '[.[] | .name] | unique | sort'

# Walk: apply transformation to every node recursively
jq 'walk(if type == "string" then ascii_downcase else . end)'

# env: read environment variables inside jq
export API_KEY=secret
jq -n 'env.API_KEY'

Best Practices

• Always use -r (raw output) when passing jq results to shell variables or other commands to strip JSON string quotes
• Use --arg / --argjson to inject shell variables safely — never interpolate shell variables directly into filter strings
• Prefer map(f) over [.[] | f] for readability
• Use -c (compact) for newline-delimited JSON pipelines; omit it for human-readable debugging
• Test filters interactively with jq -n and literal input before embedding in scripts
• Use empty to drop unwanted elements rather than filtering to null

Security & Safety Notes

• jq is read-only by design — it cannot write files or execute commands
• Avoid embedding untrusted JSON field values directly into shell commands; always quote or use --arg

Common Pitfalls

• Problem: jq outputs null instead of the expected value Solution: Check for typos in key names; use keys to inspect actual field names. Remember JSON is case-sensitive.

• Problem: Numbers are quoted as strings in the output Solution: Use --argjson instead of --arg when injecting numeric values.

• Problem: Filter works in the terminal but fails in a script Solution: Ensure the filter string uses single quotes in the shell to prevent variable expansion. Example: jq '.field' not jq ".field".

• Problem: add returns null on an empty array Solution: Use add // 0 or add // "" to provide a fallback default.

• Problem: Streaming large files is slow Solution: Use jq --stream or switch to jstream/gron for very large files.

Related Skills

• @bash-pro — Wrapping jq calls in robust shell scripts
• @bash-linux — General shell pipeline patterns
• @github-automation — Using jq with GitHub CLI JSON output

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.