Use when building LLM applications with LangChain, implementing chains, agents, tools, memory, prompts, and retrieval systems. Includes best practices for prompt engineering, tool integration, and agent development. Based on LangChain/LangGraph official documentation and agent development best practices.
How to install langchain?
omar-obando/qwen-orchestrator/langchain
$npx -y skills add omar-obando/qwen-orchestrator --skill langchainInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/omar-obando/qwen-orchestrator" --skill "omar-obando/qwen-orchestrator/langchain"` 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/omar-obando/qwen-orchestrator" that are relevant to the current task. Run `npx skills add "https://github.com/omar-obando/qwen-orchestrator"` and select the relevant skills, then follow their instructions.
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