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data-processing

The data-processing skill provides command-line tools jq and yq for querying, filtering, and transforming structured data formats including JSON, YAML, and TOML. Use it when extracting values from configuration files like Docker Compose and Kubernetes manifests, parsing package.json dependencies, processing API responses, or converting between data formats.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/aiskillstore/marketplace /tmp/data-processing && cp -r /tmp/data-processing/skills/0xdarkmatter/data-processing ~/.claude/skills/data-processing
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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

```bash
# 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

```bash
# 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
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