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omidzamani/dspy-skills

24 skills

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$npx skills add omidzamani/dspy-skills
SkillInstalls
dspy-adapters-multimodalUse for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or…—dspy-advanced-module-compositionUse for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.—dspy-better-togetherUse for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.—dspy-bootstrap-fewshotUse for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.—dspy-custom-module-designUse for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.—dspy-debugging-observabilityUse for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.—dspy-embedding-retrievalUse for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.—dspy-evaluation-suiteUse for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program comparisons.—dspy-finetune-bootstrapUse for BootstrapFinetune, fine-tuning DSPy models, teacher-student distillation, weight optimization, and lower-cost deployment.—dspy-gepa-reflectiveUse for GEPA reflective optimization, ReAct agent optimization, feedback metrics, LLM reflection, and execution trajectories.—dspy-haystack-integrationUse for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.—dspy-mcp-tool-integrationUse for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.—dspy-miprov2-optimizerUse for MIPROv2, Bayesian optimization, instruction and demo tuning, and high-performance DSPy program optimization.—dspy-optimize-anythingUse for GEPA optimize_anything on text artifacts such as code, prompts, agent architectures, configs, and non-DSPy optimization targets.—dspy-optimizer-selectionUse to choose or compare DSPy optimizers including LabeledFewShot, BootstrapFewShot, MIPROv2, SIMBA, GEPA, BootstrapFinetune, Ensemble, and BetterTogether.—dspy-output-refinement-constraintsUse for dspy.Refine, dspy.BestOfN, output constraints, validation, reward functions, and iterative output refinement.—dspy-production-deploymentUse for deploying DSPy with save/load, configure_cache, restrict_pickle, track_usage, async execution, streaming, and production runtime controls.—dspy-rag-pipelineUse for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.—dspy-react-agent-builderUse for ReAct agents, tool-calling agents, dspy.ReAct, multi-step reasoning and acting, and GEPA agent optimization.—dspy-reasoning-modulesUse for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context workflows.—dspy-signature-designerUse for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas.—dspy-simba-optimizerUse for SIMBA optimization, mini-batch introspective optimization, self-reflective rules, stochastic ascent, and numeric-metric optimization.—skill-perfectionUse this skill when you need to QA audit and fix a plugin skill file.—skills-skill-perfection