Data processing
Skill aiskillstore/marketplace/skills/0xdarkmatter/data-processing
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.From its SKILL.md
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SKILL.md
2.8 KB, 710 tokens by cl100k_base, as published. Nobody here has run it
Data Processing
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 |
jq Essentials
# Extract single field
jq '.name' package.json
# Extract nested field
jq '.scripts.build' package.json
# Extract from array
jq '.dependencies[0]' package.json
# Extract multiple fields
jq '{name, version}' package.json
# Navigate deeply nested
jq '.data.users[0].profile.email' response.json
# Filter by condition
jq '.users[] | select(.active == true)' data.json
# Transform each element
jq '.users | map({id, name})' data.json
# Count elements
jq '.users | length' data.json
# Raw string output
jq -r '.name' package.json
yq Essentials
# Extract field
yq '.name' config.yaml
# Extract nested
yq '.services.web.image' docker-compose.yml
# List all keys
yq 'keys' config.yaml
# List all service names (Docker Compose)
yq '.services | keys' docker-compose.yml
# Get container images (K8s)
yq '.spec.template.spec.containers[].image' deployment.yaml
# Update value (in-place)
yq -i '.version = "2.0.0"' config.yaml
# TOML to JSON
yq -p toml -o json '.' config.toml
Quick Reference
| Task | jq | yq |
|---|---|---|
| Get field | jq '.key' | yq '.key' |
| Array element | jq '.[0]' | yq '.[0]' |
| Filter array | jq '.[] | select(.x)' | yq '.[] | select(.x)' |
| Transform | jq 'map(.x)' | yq 'map(.x)' |
| Count | jq 'length' | yq 'length' |
| Keys | jq 'keys' | yq 'keys' |
| Pretty print | jq '.' | yq '.' |
| Compact | jq -c | yq -o json -I0 |
| Raw output | jq -r | yq -r |
| In-place edit | - | yq -i |
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
- Config file manipulation
- Data format conversion
Additional Resources
For complete pattern libraries, load:
./references/jq-patterns.md- Arrays, filtering, transformation, aggregation, output formatting./references/yq-patterns.md- Docker Compose, K8s, GitHub Actions, TOML, YAML modification./references/config-files.md- package.json, tsconfig, eslint/prettier patterns
What ships with it: 6 files
33.4 KB alongside SKILL.md
assets/
- .gitkeep0 B
references/
- config-files.md794 B
- jq-patterns.md3.2 KB
- yq-patterns.md1.9 KB
scripts/
- .gitkeep0 B
- skill-report.json27.5 KB
Gives 0 of the 12 instructions most containers cloud skills give in 710 tokens
Counted across 607 of the 705 authors here whose files we hold, read 2026-09-06
- Run as non-root userin 34 of 607, across 27 files
- Use multi-stage buildsin 29 of 607
- Set resource requests and limitsin 24 of 607, across 20 files
- Configure liveness and readiness probesin 18 of 607, across 14 files
- Use named volumes for persistent datain 14 of 607, across 9 files
- Pin base image versionsin 14 of 607
- Set up environment variablesin 14 of 607, across 10 files
- Pin provider versionsin 14 of 607
- Apply least privilege RBAC permissionsin 10 of 607, across 7 files
- Create a dockerignore filein 10 of 607
- Use remote state with lockingin 9 of 607
- Pin base images by digestin 9 of 607, across 8 files
Said here and by no other author read
- Query structured data efficiently
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.