By OmidZamani
Develop DSPy applications end-to-end: construct typed programs, optimize via few-shot/MIPROv2/GEPA/SIMBA, evaluate with metrics, deploy with caching/streaming, and integrate RAG, ReAct agents, MCP tools, and Haystack.
This skill should be used when the user asks to "choose a DSPy adapter", "use JSONAdapter", "use XMLAdapter", "enable native function calling", "send images, audio, or files to DSPy", mentions `dspy.ChatAdapter`, `dspy.JSONAdapter`, `dspy.XMLAdapter`, `dspy.Image`, `dspy.Audio`, `dspy.File`, structured outputs, or multimodal DSPy signatures.
This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex multi-module DSPy programs with ensemble patterns or multi-chain comparison.
This skill should be used when the user asks to "use BetterTogether", "combine prompt optimization and fine-tuning", "sequence DSPy optimizers", "run prompt then weight optimization", mentions `dspy.BetterTogether`, strategy strings such as "p -> w -> p", or needs to compose multiple DSPy teleprompters into an evaluated optimization sequence.
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute.
This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module", "build reusable DSPy component", mentions "custom module patterns", "module serialization", "stateful modules", "module testing", or needs to design production-quality custom DSPy modules with proper architecture, state management, and testing.
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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.
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
# Bayesian search for MIPROv2
pip install -U "dspy[optuna]>=3.2.1,<3.3"
# MCP tool integration
pip install -U "dspy[mcp]>=3.2.1,<3.3"
# Large local embedding corpora
pip install faiss-cpu
# optimize_anything
pip install -U "gepa>=0.1.1,<0.2"
/plugin marketplace add OmidZamani/dspy-skills
/plugin install dspy-skills@dspy-skills-marketplace
python3 scripts/validate_repo.py
python3 -m compileall -q examples skills/dspy-haystack-integration/examples
MIT License. See LICENSE.
npx claudepluginhub omidzamani/dspy-skills --plugin dspy-skillsProduction-grade DSPy 3.2.x skills for coding agents: signatures, modules, evaluation harnesses, GEPA optimization, RLM long-context reasoning, BetterTogether chaining, and a full end-to-end DSPy workflow.
Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins
Editorial "LLM Application Developer" bundle for Claude Code from Antigravity Awesome Skills.
LLM application development with RAG, embeddings, LangChain, and prompt engineering
Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
🤖 AI Engineer — AI Engineer + LLM Systems Specialist