← Prompts
Skill / Create Orchestra AI Research Skills
Build complex AI systems with declarative programming, optimize prompts...
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
# DSPy: Declarative Language Model Programming ## When to Use This Skill Use DSPy when you need to: - **Build complex AI systems** with multiple components and workflows - **Program LMs declaratively** instead of manual prompt engineering - **Optimize prompts automatically** using data-driven methods - **Create modular AI pipelines** that are maintainable and portable - **Improve model outputs systematically** with optimizers - **Build RAG systems, agents, or classifiers** with better reliability **GitHub Stars**: 22,000+ | **Created By**: Stanford NLP ## Installation ```bash # Stable release pip install dspy # Latest development version pip install git+https://github.com/stanfordnlp/dspy.git # With specific LM providers pip install dspy[openai] # OpenAI
Sign in to view the full prompt.
Sign InTags
Classification
Skill Capability with explicit trigger pattern
Skill Create
Generate or transformScope Global
All AI interactions Manual Manually placed / Persistent