json-tools

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Query, filter, transform, and validate JSON using jq (or Python as a fallback). Use when users want to extract fields from a JSON blob/file/API response, reshape JSON, pretty-print, or check that JSON is valid. Triggers on mentions of json, jq, extract field, parse json, pretty print json, validate json, reshape, 解析 json, 提取字段, 格式化 json.

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Source SKILL.md: https://github.com/microclaw/microclaw/blob/HEAD/skills/built-in/json-tools/SKILL.md

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JSON Tools

Prefer jq for querying JSON; fall back to Python's json if jq isn't installed (command -v jq to check).

Pretty-print / validate

jq . data.json                 # pretty-print (errors if invalid)
python3 -m json.tool data.json # stdlib fallback

Extract a field / path

jq -r '.user.name' data.json
jq -r '.items[].id' data.json          # one id per line
jq -r '.items[] | select(.active)' data.json

Reshape into a new object / CSV

jq '{id: .id, who: .user.name}' data.json
jq -r '.rows[] | [.id, .name] | @csv' data.json

Python fallback for the same tasks

python3 - <<'PY'
import json
d = json.load(open('data.json'))
print([it['id'] for it in d['items'] if it.get('active')])
PY

Guidance

jq -r strips quotes for raw string output; drop -r to keep valid JSON.
For huge files, filter early (jq '.items[] | select(...)') instead of loading all into memory in Python.
When piping an API response, validate first — a truncated/HTML error page is not JSON.
Show the extracted result, not the entire input.