← ClaudeAtlas

tool-jqlisted

Use jq to parse, filter, and transform JSON in shell pipelines. Trigger when structured JSON extraction or reshaping is needed.
niksavis/basicly · ★ 1 · Data & Documents · score 72
Install: claude install-skill niksavis/basicly
<!-- Generated by `basicly skills-build` from skill.yaml. Do not edit; edit the source. --> # tool-jq ## When To Use - Extract fields from API responses and config outputs. - Transform nested JSON into concise pipeline-friendly structures. - Validate JSON shape and enforce required keys in scripts. ## Trusted Commands ```bash jq . file.json jq '.fieldName' file.json jq '{id, name, status}' file.json jq '[.items[] | {id, name}]' file.json jq '.items | length' file.json jq '.items[] | select(.status == "active")' file.json jq '.name // "unknown"' file.json jq -r '.name' file.json jq -c '.items[]' file.json jq -e '.token' file.json ``` ## Safe Defaults - Start with `jq .` to confirm valid JSON. - Use `-r` for raw strings passed to other commands. - Use `-e` where null/false must fail a pipeline step. ## Common Pitfalls - Missing keys return `null` instead of raising an error. - Quoted JSON strings are not suitable when raw output is required. - Large one-liner filters become brittle without iterative checks. ## Output Interpretation - Pretty JSON by default; use `-c` for compact JSON lines. - `-e` returns non-zero on null/false, useful for guard conditions. ## Why It Matters For Agents - jq is the standard adapter between JSON output and shell automation. - It reduces custom parser code and keeps pipelines deterministic. ## Repo Conventions - Prefer jq over ad-hoc JSON parsing scripts. - Keep filters readable and scoped to required fields. ## Trigger Examples -