Omidzamani

This skill helps you build a retrieval-augmented generation pipeline using ColBERTv2 in DSPy to produce grounded, factual answers.

This skill helps you compose DSPy programs by orchestrating ensemble, multi-chain comparison, and sequential modules for robust multi-step workflows.

This skill helps you design production-ready DSPy custom modules with proper architecture, state management, serialization, and testing.

This skill helps you debug, trace, and monitor DSPy programs in development and production with inspection, MLflow tracing, and custom callbacks.

This skill helps you systematically evaluate DSPy programs with built-in and custom metrics, enabling baseline creation, comparisons, and production readiness.

This skill optimizes complex agentic systems with reflective feedback and Pareto-based search to improve multi-step agents using textual traces.

This skill enables DSPy to optimize Haystack prompts and pipelines, delivering data-driven prompt improvements and seamless DSPy-Haystack integration.

This skill refines DSPy outputs through iterative reward-based checks and best-of-N selection to meet format, length, and content constraints.

This skill designs type-safe DSPy module signatures with input/output schemas and Pydantic models for robust, structured results.

This skill guides you through auditing and fixing a plugin skill file in one pass, delivering a verified, ready-to-report result.