response-analyzer

Save large outputs to temporary files and load only structured summaries into context. This approach writes verbose responses like logs, API payloads, and search results to /tmp/aura-frog, generates concise summaries, and references full data on demand to keep your context lean.

Yes. This Skill integrates bash scripts and jq to process command outputs, extract key results, and generate summaries. It handles API responses, build logs, and test output by filtering data through jq queries and storing summaries separately from raw responses.

Command outputs, API payloads, file search results, and verbose test or build logs that exceed thresholds. The Skill writes these to temporary storage, generates structured summaries, and maintains references so you access full data only when needed.

Use the provided bash scripts and templates to automate storage and summary generation. Commands and templates are included to pipe outputs directly, reducing manual intervention while keeping context overhead minimal across multiple tool invocations.

Effectiveness depends on jq's ability to parse structured data. Unstructured plain text, binary formats, or outputs without consistent structure may require custom filters. Summary quality varies by output complexity and relevance of extracted fields to your use case.