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Dspy Skills

Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

Install

$/plugin marketplace add OmidZamani/dspy-skills

Install command taken from the project's README or registry entry. Always review code before running it.

DSPy Skills Collection

A Claude Code plugin containing 22 focused skills for programming, optimizing, evaluating, and deploying LLM applications with DSPy.

Stable DSPy baseline: 3.2.1, released May 5, 2026. Install the stable series with:

pip install -U "dspy>=3.2.1,<3.3"

DSPy 3.3.0b1 is a prerelease published May 28, 2026. See prerelease notes before opting in.

Skills Index

Start Here

Skill Use it for
dspy-signature-designer Typed signatures and structured outputs
dspy-custom-module-design Reusable dspy.Module architecture
dspy-evaluation-suite Metrics, baselines, and comparisons
dspy-optimizer-selection Choosing among DSPy's optimizer families

Retrieval and Data

Skill Use it for
dspy-rag-pipeline RAG and multi-hop retrieval pipelines
dspy-embedding-retrieval Embedder, Embeddings, FAISS, and local corpora
dspy-haystack-integration Optimizing Haystack-backed pipelines

Agents and Reasoning

Skill Use it for
dspy-react-agent-builder ReAct tool agents
dspy-mcp-tool-integration MCP tools in DSPy agents
dspy-reasoning-modules RLM, ProgramOfThought, CodeAct, and Parallel
dspy-advanced-module-composition Ensembles and composed modules

Optimizers

Skill Use it for
dspy-bootstrap-fewshot Fast demo bootstrapping
dspy-miprov2-optimizer Instruction and demo search
dspy-gepa-reflective Reflective instruction optimization
dspy-simba-optimizer Mini-batch introspective optimization
dspy-finetune-bootstrap Weight optimization and distillation
dspy-better-together Sequencing prompt and weight optimizers
dspy-optimize-anything GEPA optimization for text artifacts outside DSPy

Production and Interfaces

Skill Use it for
dspy-output-refinement-constraints Refine and BestOfN constraints
dspy-adapters-multimodal Adapters, native tools, image, audio, and file inputs
dspy-production-deployment Cache hardening, save/load, usage tracking, async, and streaming
dspy-debugging-observability Inspection, callbacks, and MLflow tracing

Typical Workflow

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