Configure and debug DSPy agent architectures with typed signatures and adapters.
npx skills add https://github.com/aurumorinc/sift --skill dspy-aurumorinc
Please help me install this Agent Skill. Skill: dspy Source: https://github.com/aurumorinc/sift/tree/main/.agents/skills/dspy Command: npx skills add https://github.com/aurumorinc/sift --skill dspy-aurumorinc
This skill addresses the complexity of implementing, configuring, and debugging DSPy-based AI agents, ensuring that developers can maintain high-quality agentic pipelines without getting lost in the intricacies of signature definitions and adapter logic.
Use the dspy skill to analyze the current module configuration and suggest improvements for the signature definition.
High-intent search queries and answers about installing and using this skill.
To debug DSPy signature parsing failures, inspect the execution history and adapter configuration to ensure typed contracts align with the language model backend. This skill analyzes module configurations to identify mismatches between signature definitions and structured output formats.
Configuring DSPy adapters and signatures requires defining typed contracts for agent behavior and integrating them with language model backends. This skill provides technical guidance on aligning adapter logic with signature definitions to maintain robust agentic pipelines.
Optimizing few-shot examples in a DSPy teleprompter pipeline involves evaluating module performance and refining prompt instructions. This skill offers specialized debugging tools to inspect execution history and refine teleprompter-driven optimization pipelines for LLM applications.
DSPy AI agents lose context when signature definitions and adapter logic are misconfigured for the language model backend. This skill troubleshootes module configurations and suggests improvements to signature definitions, ensuring high-quality agentic pipeline behavior.
DSPy enforces typed contracts by integrating custom signatures and adapters with language model backends. This skill facilitates the development of these typed contracts and ensures efficient integration for robust LLM-based application behavior.
DSPy limitations arise from the intricacies of signature definitions and adapter logic causing debugging complexity. This skill addresses these limitations by providing specialized technical guidance to maintain high-quality agentic pipelines without getting lost in configurations.
magnus919Compile typed signatures and modules against defined metrics to optimize language model prompt programs.
camelranchentertainmentDesign, refine, and evaluate LLM prompts with templates, rubrics, and test suites.
faionfaionGuide LLM integration, RAG pipelines, agent development, and model evaluation.
bobmatnycAutomate prompt optimization with a declarative DSL for LLM workflows.
