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Build, optimize, and systematize LLM programs and RAG pipelines with DSPy.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dspy-skills" yet — see the docs or source repo.
Using the DSPy framework, design a prompt pipeline for customer support QA, including input/output signatures, module breakdown, evaluation metrics, and ideas for automatic prompt optimization.
A structured DSPy plan with module design, prompt optimization methods, and evaluation suggestions.
Use DSPy to plan a retrieval-augmented generation workflow for enterprise knowledge-base QA, and explain how to design retrieval, reranking, generation, and evaluation stages.
A practical RAG architecture description with key modules, workflow steps, and optimization directions.
I want to compare how different DSPy modules and prompting strategies affect QA accuracy. Help me create an experiment plan, including dataset splits, evaluation metrics, comparison methods, and a results logging template.
A complete experiment design for systematically evaluating DSPy program performance.
Use a reusable Claude skill set to speed up writing, analysis, and development.
Extend Claude with specialized workflows for faster development and complex tasks.
Access a mixed set of Claude skills and resources for common AI workflows.
Access Posit-curated Claude skills to speed up coding and data analysis tasks.
Discover Claude skills and resources to customize and improve AI workflows.
Discover Claude skills and resources to customize efficient AI coding workflows.