data-processing
SolidProcess 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.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- aiskillstore
- Repository
- aiskillstore/marketplace
- Created
- 7 months ago
- Last Updated
- today
- Language
- Python
- License
- None
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
tool-jq
Use jq to parse, filter, and transform JSON in shell pipelines. Trigger when structured JSON extraction or reshaping is needed.
jq
This skill should be used when the user asks to "parse this JSON", "extract X from this output", "pull the field with jq", "filter this API response", "reshape this JSON", "aggregate these records", "explain this jq filter", or invokes /jq. Also trigger when the user pastes raw JSON or CLI output (curl, kubectl, aws, gh, docker) and asks to filter, transform, or summarize it. Do NOT use for writing JSON, JSON Schema validation, jsonnet, or non-jq shell scripting.
jq
Trigger on: jq, jq filter, jq query, process JSON, filter JSON, transform JSON, extract from JSON, parse API response JSON, NDJSON, pretty-print JSON, jq select, group_by JSON, update JSON file with jq. Specialized procedure for complex JSON processing with the jq CLI. Prefer over ad-hoc Python/Node one-offs for extract, filter, format, aggregate, or in-place JSON transforms. Do not use for binary files, CSV/XML conversion, or general scripting unrelated to JSON.