Selects the best prompt candidate for a given context by balancing performance and diversity criteria, optimizing AI prompt effectiveness through evolutionary algorithms.
Optimize and refine prompts for Claude Code with automatic language detection and structured output. Enhance effectiveness through interactive Q&A and context-aware adjustments.
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.