Build declarative AI systems with DSPy
dspyskillsetup L3★9,423
Orchestra-Research/AI-Research-SKILLs ↗What it does
Compile declarative prompts into optimized LLM pipelines with validation
Best for
Complex prompt pipelines where you want automatic optimization and compositional abstraction.
Inputs
- · prompt signature
- · example inputs/outputs
- · validation function
Outputs
- · optimized program
- · telemetry logs
Requires
- · dspy-ai
- · LLM API key (OpenAI/Claude/etc)
Preconditions
LLM API configured; input/output signatures well-defined; validation examples provided
Failure modes
Over-optimization on small example sets causes hallucination; signature mismatch causes type errors
Trust signals
- · Stanford research origin (Omar Khattab)
- · Published DSPy paper
- · Used in ROME research