Expert skill for programming—not prompting—language models with Stanford's DSPy framework. Signatures, modules (Predict, ChainOfThought, ReAct), optimizer/teleprompter selection, compilation, caching, evaluation. Use when doing programmatic prompt optimization or building compiled prompt programs.
$npx -y skills add magnus919/agent-skills --skill dspyInstalls into the current project.
Run `npx skills use "https://github.com/magnus919/agent-skills" --skill "magnus919/agent-skills/dspy"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/magnus919/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/magnus919/agent-skills"` and select the relevant skills, then follow their instructions.