Enhance Claude Plugin: AI Expertise

My Claude plugin is already in production, yet it still needs a seasoned AI developer to take it from “works” to “delights.” The core codebase is stable, but I now require deep-level enhancements across three fronts:

• Performance optimization – slash latency, tighten memory use, and ensure rock-solid scalability under heavy query loads.
• New feature integration – extend current capabilities by adding advanced prompt orchestration, richer context handling, or other innovations you feel will strengthen the user experience.
• Bug fixing – track down edge-case failures and patch them cleanly without introducing regressions.

You should be comfortable auditing and refactoring Python (and any auxiliary TypeScript), familiar with Anthropic’s Claude API nuances, and experienced in prompt engineering, vector stores, and modern deployment workflows (Docker, CI/CD, cloud functions). Clear, well-documented commits and quick iterative feedback cycles are expected so we can confirm each improvement before moving on.

If you can demonstrate prior success elevating AI-driven plugins or similar LLM tools, I’m ready to share the repo and outline the immediate milestones.