SKILL.md 1.5 KB


name: data-processing

description: Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.

Data Processing

Purpose

Query, filter, and transform structured data (JSON, YAML, TOML) efficiently from the command line.

Tools

Tool Command Use For
jq jq '.key' file.json JSON processing
yq yq '.key' file.yaml YAML/TOML processing

Usage Examples

JSON with jq

# Extract single field
jq '.name' package.json

# Extract nested field
jq '.dependencies | keys' package.json

# Filter array
jq '.users[] | select(.active == true)' data.json

# Transform structure
jq '.items[] | {id, name}' data.json

# Pretty print
jq '.' response.json

# Compact output
jq -c '.results[]' data.json

YAML with yq

# Extract field from YAML
yq '.services | keys' docker-compose.yml

# Get all container images
yq '.services[].image' docker-compose.yml

# Extract GitHub Actions job names
yq '.jobs | keys' .github/workflows/ci.yml

# Get K8s resource names
yq '.metadata.name' deployment.yaml

# Convert YAML to JSON
yq -o json '.' config.yaml

When to Use

  • Reading package.json dependencies
  • Parsing Docker Compose configurations
  • Analyzing Kubernetes manifests
  • Processing GitHub Actions workflows
  • Extracting data from API responses
  • Filtering large JSON datasets