Use when building stateful agents and workflows with LangGraph, implementing graph-based architectures, managing state persistence, human-in-the-loop capabilities, and multi-agent systems. Includes Python and JavaScript implementations. Based on LangChain/LangGraph official documentation and agent development best practices.
$npx -y skills add omar-obando/qwen-orchestrator --skill langgraphInstalls into the current project.
Run `npx skills use "https://github.com/omar-obando/qwen-orchestrator" --skill "omar-obando/qwen-orchestrator/langgraph"` 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.