langchain-components
bykrzysztofsurdy· 39 skills
Comprehensive reference for the LangChain ecosystem including LangChain, LangGraph, and Deep Agents for Python 3.10+. Use when the user asks to build AI agents, implement RAG pipelines, configure chat models, create tool-calling agents, set up retrieval chains, manage conversation memory, orchestrate multi-agent workflows, or integrate with LLM providers (OpenAI, Anthropic, Google). Covers models, messages, output parsers, vector stores, embedding strategies, streaming, middleware, and LangGraph state machines.
How to install langchain-components?
krzysztofsurdy/code-virtuoso/langchain-components
$npx -y skills add krzysztofsurdy/code-virtuoso --skill langchain-componentsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/krzysztofsurdy/code-virtuoso" --skill "krzysztofsurdy/code-virtuoso/langchain-components"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/krzysztofsurdy/code-virtuoso" that are relevant to the current task. Run `npx skills add "https://github.com/krzysztofsurdy/code-virtuoso"` and select the relevant skills, then follow their instructions.
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