dspy

Quick Review

Excellent DSPy skill with comprehensive coverage of declarative LM programming. The description clearly articulates when and how to use DSPy for building complex AI systems. Task knowledge is outstanding with detailed code examples covering basic usage, core concepts (signatures, modules, optimizers), multiple LM providers, common patterns, and best practices. Structure is very clear with logical progression from quick start to advanced patterns, plus references to additional files for deeper dives. High novelty score as DSPy's automatic prompt optimization and systematic pipeline building would require extensive manual prompt engineering and many tokens for a CLI agent to replicate. The skill provides immediate value through working examples of RAG systems, multi-hop QA, and optimization workflows. Minor room for improvement in showcasing more cutting-edge DSPy features or complex real-world scenarios, but overall this is a highly practical and well-documented skill that significantly reduces the complexity and cost of building sophisticated LM-based systems.