dspy-skills

Plugin dspy-skills from marketplace dspy-skills-marketplace in OmidZamani/dspy-skills. Commands read from the repo's manifest — 1 month ago.

Skills (24)

• skill-perfection

  Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification reports.

• skill-perfection

  Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification reports.

• dspy-adapters-multimodal

  Use for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or dspy.Audio.

• dspy-advanced-module-composition

  Use for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.

• dspy-better-together

  Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.

• dspy-bootstrap-fewshot

  Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

• dspy-custom-module-design

  Use for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.

• dspy-debugging-observability

  Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.

• dspy-embedding-retrieval

  Use for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.

• dspy-evaluation-suite

  Use for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program comparisons.

• dspy-finetune-bootstrap

  Use for BootstrapFinetune, fine-tuning DSPy models, teacher-student distillation, weight optimization, and lower-cost deployment.

• dspy-gepa-reflective

  Use for GEPA reflective optimization, ReAct agent optimization, feedback metrics, LLM reflection, and execution trajectories.

• dspy-haystack-integration

  Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

• dspy-mcp-tool-integration

  Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.

• dspy-miprov2-optimizer

  Use for MIPROv2, Bayesian optimization, instruction and demo tuning, and high-performance DSPy program optimization.

• dspy-optimize-anything

  Use for GEPA optimize_anything on text artifacts such as code, prompts, agent architectures, configs, and non-DSPy optimization targets.

• dspy-optimizer-selection

  Use to choose or compare DSPy optimizers including LabeledFewShot, BootstrapFewShot, MIPROv2, SIMBA, GEPA, BootstrapFinetune, Ensemble, and BetterTogether.

• dspy-output-refinement-constraints

  Use for dspy.Refine, dspy.BestOfN, output constraints, validation, reward functions, and iterative output refinement.

• dspy-production-deployment

  Use for deploying DSPy with save/load, configure_cache, restrict_pickle, track_usage, async execution, streaming, and production runtime controls.

• dspy-rag-pipeline

  Use for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.

• dspy-react-agent-builder

  Use for ReAct agents, tool-calling agents, dspy.ReAct, multi-step reasoning and acting, and GEPA agent optimization.

• dspy-reasoning-modules

  Use for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context workflows.

• dspy-signature-designer

  Use for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas.

• dspy-simba-optimizer

  Use for SIMBA optimization, mini-batch introspective optimization, self-reflective rules, stochastic ascent, and numeric-metric optimization.

Similar plugins