
jq-json-processing
jq JSON processing: query, filter, transform JSON. Use when parsing JSON files, filtering arrays/objects, transforming structures, or extracting fields from JSON.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/laurigates/claude-plugins --skill jq-json-processing- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads jq-json-processing automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
jq JSON Processing
Expert knowledge for processing, querying, and transforming JSON data using jq, the lightweight and flexible command-line JSON processor.
When to Use This Skill
| Use this skill when... | Use yq-yaml-processing instead when... |
|---|---|
| Extracting or filtering fields in JSON input | Working with YAML files (Kubernetes, GH Actions, Helm) |
Parsing gh, curl, or kubectl -o json responses | Editing YAML in place while preserving comments |
| CI pipelines on minimal images (jq is universally installed) | Converting YAML → JSON before processing |
| Use this skill when... | Use nushell-data-processing instead when... |
|---|---|
| One-off pipeline transforms that fit in a single expression | Multi-step transforms that span JSON, YAML, CSV, and TOML |
| Stdin-piped JSON from another command | Aggregations, group-by, or visual table exploration |
Core Expertise
JSON Operations
- Query and filter JSON with path expressions
- Transform JSON structure and shape
- Combine, merge, and split JSON data
- Validate JSON syntax and structure
Data Extraction
- Extract specific fields from JSON objects
- Filter arrays based on conditions
- Navigate nested JSON structures
- Handle null values and missing keys
Essential Commands
Basic Querying
# Pretty-print JSON
jq '.' file.json
# Extract specific field
jq '.fieldName' file.json
# Extract nested field
jq '.user.email' file.json
# Extract array element
jq '.[0]' file.json
jq '.items[2]' file.json
Array Operations
# Get array length
jq '.items | length' file.json
# Map over array
jq '.items | map(.name)' file.json
# Filter array
jq '.items[] | select(.active == true)' file.json
jq '.users[] | select(.age > 18)' file.json
# Sort array
jq '.items | sort_by(.name)' file.json
jq '.items | sort_by(.date) | reverse' file.json
# Get first/last elements
jq '.items | first' file.json
jq '.items | last' file.json
# Unique values
jq '.tags | unique' file.json
Object Operations
# Get all keys
jq 'keys' file.json
jq '.config | keys' file.json
# Get all values
jq '.[] | values' file.json
# Select specific fields
jq '{name, email}' file.json
jq '{name: .fullName, id: .userId}' file.json
# Add field
jq '. + {newField: "value"}' file.json
# Delete field
jq 'del(.password)' file.json
# Merge objects
jq '. * {updated: true}' file.json
Filtering and Conditions
# Select with conditions
jq 'select(.status == "active")' file.json
jq '.[] | select(.price < 100)' file.json
# Multiple conditions (AND)
jq '.[] | select(.active and .verified)' file.json
jq '.[] | select(.age > 18 and .country == "US")' file.json
# Multiple conditions (OR)
jq '.[] | select(.type == "admin" or .type == "moderator")' file.json
# Exists / has field
jq '.[] | select(has("email"))' file.json
jq 'select(.optional != null)' file.json
# Not condition
jq '.[] | select(.status != "deleted")' file.json
String Operations
# String interpolation
jq '"Hello, \(.name)"' file.json
# Convert to string
jq '.id | tostring' file.json
# String contains
jq '.[] | select(.email | contains("@gmail.com"))' file.json
# String starts/ends with
jq '.[] | select(.name | startswith("A"))' file.json
jq '.[] | select(.file | endswith(".json"))' file.json
# Split string
jq '.path | split("/")' file.json
# Join array to string
jq '.tags | join(", ")' file.json
# Lowercase/uppercase
jq '.name | ascii_downcase' file.json
jq '.name | ascii_upcase' file.json
Pipes and Composition
# Chain operations
jq '.items | map(.name) | sort | unique' file.json
# Multiple filters
jq '.users[] | select(.active) | select(.age > 18) | .email' file.json
# Group by
jq 'group_by(.category)' file.json
jq 'group_by(.status) | map({status: .[0].status, count: length})' file.json
Output Formatting
# Compact output (no pretty-print)
jq -c '.' file.json
# Raw output (no quotes for strings)
jq -r '.message' file.json
jq -r '.items[] | .name' file.json
# Output as tab-separated values
jq -r '.[] | [.name, .age, .email] | @tsv' file.json
# Output as CSV
jq -r '.[] | [.name, .age, .email] | @csv' file.json
# Output as JSON array on one line
jq -c '[.items[]]' file.json
Input/Output Options
# Read from stdin
cat file.json | jq '.items'
curl -s https://api.example.com/data | jq '.results'
# Multiple input files
jq -s '.' file1.json file2.json # Slurp into array
# Write to file
jq '.filtered' input.json > output.json
# In-place edit (use sponge from moreutils)
jq '.updated = true' file.json | sponge file.json
Advanced Patterns
# Recursive descent
jq '.. | .email? // empty' file.json
# Reduce (sum, accumulate)
jq '[.items[].price] | add' file.json
jq 'reduce .items[] as $item (0; . + $item.price)' file.json
# Variable assignment
jq '.items[] | . as $item | $item.name + " - " + ($item.price | tostring)' file.json
# Conditional (if-then-else)
jq '.items[] | if .price > 100 then "expensive" else "affordable" end' file.json
jq 'if .error then .error else .data end' file.json
# Try-catch for error handling
jq '.items[] | try .field catch "not found"' file.json
# Flatten nested arrays
jq '.items | flatten' file.json
jq '.items | flatten(1)' file.json # Flatten one level
Real-World Examples
# Extract all emails from nested structure
jq '.. | .email? // empty' users.json
# Get unique list of all tags across items
jq '[.items[].tags[]] | unique' data.json
# Count items by status
jq 'group_by(.status) | map({status: .[0].status, count: length})' items.json
# Transform API response to simple list
jq '.results[] | {id, name: .full_name, active: .is_active}' response.json
# Filter GitHub workflow runs (recent failures)
gh run list --json status,conclusion,name,createdAt | \
jq '.[] | select(.conclusion == "failure") | {name, createdAt}'
# Extract package.json dependencies with versions
jq '.dependencies | to_entries | map("\(.key)@\(.value)")' package.json
# Merge two JSON files
jq -s '.[0] * .[1]' base.json override.json
# Create summary from log data
jq 'group_by(.level) | map({level: .[0].level, count: length, samples: [.[].message][:3]})' logs.json
Best Practices
Query Construction
- Start simple, build complexity incrementally
- Test filters on small datasets first
- Use
-cflag for compact output in scripts - Use
-rflag for raw strings (no quotes)
Performance
- Use
select()early in pipeline to reduce data - Use targeted queries with specific paths for large files
- Stream large JSON with
--streamflag - Consider
jq -cfor faster processing
Error Handling
- Use
?operator for optional access:.field? - Use
// emptyto filter out nulls/errors - Use
try-catchfor graceful error handling - Check for field existence with
has("field")
Readability
- Break complex queries into multiple steps
- Use variables with
as $varfor clarity - Add comments in shell scripts
- Format multi-line jq programs for readability
Common Patterns
For task-shaped recipes (API response processing, config extraction/merge, log analysis, CSV ↔ JSON transformation), open references/common-patterns.md.
Troubleshooting
When jq reports a parse error, returns nothing, raises a type error, or is slow on a large file, open references/troubleshooting.md.
Integration with Other Tools
# With curl (API calls)
curl -s "https://api.github.com/users/octocat" | jq '.name, .bio'
# With gh CLI (GitHub operations)
gh api repos/owner/repo/issues | jq '.[] | {number, title, state}'
# With find (batch processing)
find . -name "package.json" -exec jq '.version' {} \;
# With xargs (parallel processing)
cat urls.txt | xargs -I {} curl -s {} | jq '.data'
# With yq (YAML to JSON conversion)
yq eval -o=json file.yaml | jq '.specific.field'
Quick Reference
Operators
.field- Access field.[]- Iterate array/object|- Pipe (chain operations),- Multiple outputs?- Optional (suppress errors)//- Alternative operator (default value)
Functions
keys,values- Object keys/valueslength- Array/object/string lengthmap(),select()- Array operationssort,sort_by()- Sortinggroup_by()- Groupingunique- Remove duplicatesadd- Sum numbers or concatenatehas()- Check field existencetype- Get value type
Type Conversions
tostring,tonumber- Convert types@csv,@tsv,@json- Format outputsplit(),join()- String/array conversion
Installation
# macOS (Homebrew)
brew install jq
# Ubuntu/Debian
sudo apt-get install jq
# Verify installation
jq --version
Resources
- Official Manual: https://stedolan.github.io/jq/manual/
- jq Playground: https://jqplay.org/
- Tutorial: https://stedolan.github.io/jq/tutorial/
FAQ
What does the jq-json-processing skill do?
jq JSON processing: query, filter, transform JSON. Use when parsing JSON files, filtering arrays/objects, transforming structures, or extracting fields from JSON.
How do I install jq-json-processing?
Run npx skills add https://github.com/laurigates/claude-plugins --skill jq-json-processing in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/jq-json-processing/ (personal) or .claude/skills/jq-json-processing/ (project).
Which AI agents can use jq-json-processing?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is jq-json-processing safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains jq-json-processing?
It is published by laurigates in laurigates/claude-plugins. It has 233 recorded installs.
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