Parse, filter, and transform JSON data with jq queries.
npx skills add https://github.com/disusered/dotfiles-universal --skill jq-disusered
Please help me install this Agent Skill. Skill: jq Source: https://github.com/disusered/dotfiles-universal/tree/main/ai/claude/skills/tools/jq Command: npx skills add https://github.com/disusered/dotfiles-universal --skill jq-disusered
This Skill provides a powerful and efficient way to parse, filter, and transform JSON data, eliminating the need for manual inspection or complex scripting. It saves developers and data analysts significant time when working with API responses, configuration files, or log data.
grep.ast-grep) for further analysis.name and email of users who are active. Use jq '.users[] | select(.status == "active") | {name, email}' to get exactly what you need in seconds.Extract the version field from the package.json file.
jq -r '.version' package.json
High-intent search queries and answers about installing and using this skill.
Use jq with field selectors to extract specific fields from JSON. For example, `jq '.users[] | {name, email}'` extracts name and email from a users array. jq understands JSON structure natively, making precise extraction faster and more reliable than text-based tools like grep.
Yes, jq's `select()` function filters JSON records by condition. For instance, `jq '.users[] | select(.status == "active")'` returns only active users. This avoids manual inspection and lets you extract exactly what you need from large API responses or log files.
jq transforms JSON by iterating arrays, applying conditional logic, and rebuilding objects. Use `.[] | {new_field: .old_field}` to reshape, or pipe multiple filters together for complex transformations. This lets you reformat API responses and configuration data without writing custom scripts.
Yes, jq processes large JSON datasets efficiently through streaming. It handles newline-delimited JSON and pipes output from other CLI tools like ast-grep, making it suitable for API responses, logs, and batch data processing at scale.
jq integrates seamlessly into Unix pipelines. Pipe JSON output from curl, git, or other tools into jq for filtering and transformation, then pass results to other commands. This Bash-friendly integration supports complex data analysis workflows without intermediate files.
jq extracts and validates fields from JSON configuration files without manual editing. Use `jq '.database.host'` to read nested config values or `jq '.services[] | .port'` to list all service ports, reducing errors and speeding up configuration audits.
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