dspy-reasoning-modules
openbooklet.com/s/dspy-reasoning-modulesopenbooklet.com/s/[email protected]GET /api/v1/skills/dspy-reasoning-modulesThis skill should be used when the user asks to "use DSPy RLM", "process a very long context", "use ProgramOfThought", "use CodeAct", "run DSPy modules in parallel", mentions Recursive Language Models, sandboxed Python execution, Deno, `dspy.RLM`, `dspy.ProgramOfThought`, `dspy.CodeAct`, or `dspy.Parallel`, or needs to choose a DSPy reasoning module beyond Predict, ChainOfThought, and ReAct.
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 "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 "build local DSPy retrieval", "use dspy.Embedder", "use dspy.Embeddings", "save an embeddings index", "add FAISS retrieval", mentions semantic search, hosted embeddings, local embedding models, `EmbeddingsWithScores`, or needs a DSPy retriever over an application-owned text corpus.
This skill should be used when the user asks to "use MCP tools with DSPy", "connect an MCP server to ReAct", "convert MCP tools to DSPy tools", mentions Model Context Protocol, `dspy.Tool.from_mcp_tool`, streamable HTTP MCP transport, stdio MCP servers, or needs to expose MCP-compatible tools to a DSPy agent.
This skill should be used when the user asks to "deploy DSPy", "save and load a DSPy program", "configure DSPy cache", "harden pickle cache", "track DSPy token usage", "run DSPy asynchronously", "stream DSPy output", mentions `configure_cache`, `restrict_pickle`, `track_usage`, `acall`, `asyncify`, `streamify`, `StreamListener`, MLflow deployment, or needs production runtime guidance for a DSPy application.
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