Filter, transform, and extract fields from JSON or YAML using jq queries.
npx skills add https://github.com/joshka0/foxctl --skill foxctl-jq
Please help me install this Agent Skill. Skill: foxctl JQ Source: https://github.com/joshka0/foxctl/tree/main/configs/skills-condensed/foxctl-jq Command: npx skills add https://github.com/joshka0/foxctl --skill foxctl-jq
It solves the problem of struggling to filter, transform, and extract specific fields from JSON or YAML when you need precise results quickly.
Run a jq expression to filter active items from your JSON payload and return the transformed result.
High-intent search queries and answers about installing and using this skill.
You can filter and extract fields from a JSON payload by applying jq query expressions to select, narrow down nested arrays, and reshape objects. This allows you to isolate precise data structures for local development workflows or data cleanup.
Yes, you can transform YAML data by parsing the YAML input into a compatible structure and applying jq query expressions. This enables consistent filtering, grouping, and mapping across both YAML and JSON datasets in the same workflow.
The best way to group and count items in a nested JSON array is by applying jq query expressions to map objects and aggregate values. This technique selectively retrieves and restructures nested arrays into a new shape suitable for reporting or analysis.
Yes, this jq workflow supports raw string output instead of compact JSON. You can control the output format to produce either machine-ready compact JSON or human-readable raw strings depending on your downstream workflow requirements.
You do not need to manually install jq locally to filter API responses if you use a semantic local CLI workflow. This approach applies jq query language directly to your exported datasets or API payloads to extract active records.
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