Use when you need to configure which language model DSPy uses — setting up providers, API keys, model parameters, or assigning different models to different pipeline stages. Common scenarios - setting up OpenAI or Anthropic API keys, configuring model parameters like temperature and max_tokens, using different models for different pipeline stages, switching between providers, using local models wi
/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills
The exact command may vary by repository. Check the README on GitHub.
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Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a C
Create new skills, modify and improve existing ones, and measure their performance. Use this skill for developing, editing, optimizing, testing, and benchmarking skills, as well as refining their descriptions for better triggering.
This skill clusters GitHub issue backlogs by root cause into plan-master issues, redirects related children, and bundles architectural-fix PRs to close clusters atomically. It's ideal for triaging and consolidating numerous issues sharing underlying defects, or for building a plan series or roadmap.
Captures agent actions across sessions, compresses them with AI, and injects relevant context into future interactions. Compatible with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode, and more.
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dspy.LM is DSPy's unified interface for calling language models. It wraps LiteLLM so any provider -- OpenAI, Anthropic, Google, Together AI, Ollama, vLLM, and 100+ others -- works through one consistent API. You configure a model once, then every DSPy module uses it automatically.
import dspy
# Create an LM instance with a provider/model string
lm = dspy.LM("openai/gpt-4o-mini") # o
[Description truncada. Veja o README completo no GitHub.]
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