Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or...

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and...

Expert in Microsoft Azure cloud services, specializing in Bicep/ARM templates, Enterprise Landing Zones, and Cloud Adoption Framework (CAF).

AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.

Turn an engineering strategy into a written Technical Roadmap Pack (Rumelt-style strategy: Diagnosis/Guiding Policy/Coherent Actions, roadmap table, initiative briefs, and alignment cadence). Use...

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

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Analyze code quality based on "Clean Code" principles. Identify naming, function size, duplication, over-engineering, and magic number issues with severity ratings and refactoring suggestions. Use...

Create and execute PRPs (Product Requirements Prompts) for feature implementation using Context Engineering principles. Use when planning new features, initializing PRP setup, executing existing...

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Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on...

Use when building Spring Boot 3.x applications, microservices, or reactive Java applications. Invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration.

Use when building Spring Boot 3.x applications, microservices, or reactive Java applications. Invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration.

Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.