A Claude Code plugin with focused skills for building LLM applications with DSPy, covering adapters, module composition, and optimizers such as BootstrapFewShot and BetterTogether. Includes a skill for auditing plugin skill files.
@omidzamaniUse for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal…
@omidzamaniUse for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program…
@omidzamaniUse for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.
@omidzamaniUse for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.
@omidzamaniUse for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module…
@omidzamaniUse for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost…
@omidzamaniUse for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.
@omidzamaniUse for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program…
@omidzamaniUse for BootstrapFinetune, fine-tuning DSPy models, teacher-student distillation, weight optimization, and lower-cost deployment.
@omidzamaniUse for GEPA reflective optimization, ReAct agent optimization, feedback metrics, LLM reflection, and execution trajectories.
@omidzamaniUse for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.
@omidzamaniUse for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.
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