research-cache

To cache research analyses, the Skill automatically stores analysis results from external repositories discovered during web exploration. This prevents redundant processing by allowing fast lookups and seamless reuse of existing repository metadata within your research workflow.

Yes, you can set TTL-based expiration for cached research repository data. The caching mechanism applies metadata with TTL and expiration rules, enabling reliable automatic invalidation and seamless cleanup of stale analysis results over time.

Cached analyses integrate with the /research command by enriching active research results with previously stored repository metadata. This seamless workflow integration allows fast lookups of cached decisions, speeding up exploration without re-running external repository analysis.

The best way to manage metadata isolation for cached repository analyses is using a dedicated research cache. It ensures data integrity by securely storing analysis metadata, caching decisions, and retrieval mechanisms separately from active exploration workflows.

To list current research cache entries and verify TTL settings, run the provided cache utility. This quick start action displays stored repository analyses, validates active TTL configurations, and confirms metadata expiration status for your workflow.