Implement Incremental Talent Code Caching and SpecPublic

AI Summary

The user wanted to implement a reliable way to store and cache talent import codes incrementally during a data processing pipeline to avoid losing progress and wasting API calls. The solution involved creating a JSON checkpoint system that saves results after each step and allows resuming from the last completed point. Later, the user requested a redesign to differentiate between general and encounter-specific specs, with the plugin prompting users to enable relevant specs on login or specialization changes.