Selects the best prompt candidate for a given context by balancing performance and diversity criteria, optimizing AI prompt effectiveness through evolutionary algorithms.
Generate multiple expanded search queries from an initial input to explore broader and deeper research results, improving search effectiveness and diversity.
Enables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.
Optimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.
Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.