jq

**Quick judgment**: This skill exposes the standard `jq` JSON processor, a powerful and mature tool for querying and transforming JSON. It is highly capable and efficient, especially for complex filtering and reshaping tasks, but assumes familiarity with jq’s mini-language. **Strengths** - Excellent for extracting, filtering, transforming, and aggregating JSON in a single step. - Battle-tested CLI tool with predictable behavior and strong performance. - The quick-reference in the description covers many of the most useful patterns (field access, filtering, mapping, grouping). **Risks / limitations** - **Usability/learning curve**: jq’s syntax can be non-obvious for newcomers; complex transformations may be hard to read and maintain. - **Data size considerations**: While jq itself is efficient, very large JSON inputs may still hit environment resource limits (CPU, memory, or timeouts) in automated workflows. - **Safety of filters**: If jq filters are built from untrusted input, you risk malformed queries or unintended data exposure/selection. There’s no inherent sandbox around what parts of the JSON can be accessed once provided. **Recommended scenarios** - Post-processing JSON responses from APIs to extract only the fields needed by subsequent steps. - Cleaning and normalizing heterogeneous JSON logs or datasets before analysis. - Quick inspection, debugging, and pretty-printing of JSON during development or troubleshooting. - Building small data pipelines where JSON transformations need to be expressed succinctly without writing full programs.