Automate AI agent and RAG pipeline design with LangChain and LangGraph.
npx skills add https://github.com/singh-gur/opencode --skill ai-engineering
Please help me install this Agent Skill. Skill: ai-engineering Source: https://github.com/singh-gur/opencode/tree/main/skills/ai-engineering Command: npx skills add https://github.com/singh-gur/opencode --skill ai-engineering
This skill enables AI/ML teams to design, implement, and operate production-ready agentic AI systems, reducing engineering toil and enabling robust integration of LangChain, LangGraph, RAG pipelines, and modern AI tooling.
Initialize a starter AI agent pipeline using LangChain and LangGraph, load a sample RAG workflow, and run a basic end-to-end test.
High-intent search queries and answers about installing and using this skill.
Build production-ready AI agents by automating design and deployment using LangChain and LangGraph, incorporating multi-agent orchestration, stateful workflows, and strict state management with TypedDict or Pydantic to ensure reliable execution.
Implement a RAG pipeline with document chunking, hybrid search, and persistent state across interactions using LangChain, ensuring reliable retrieval-augmented generation workflows that maintain context throughout complex AI processing tasks.
Handle error management in multi-agent collaboration by applying explicit error handling to prevent deadlocks, utilizing resilient fallback chains, and enforcing strict state management with TypedDict or Pydantic for robust execution.
Yes, you can use LangGraph for stateful workflows by applying production patterns like caching for performance, concurrency controls, and resilient fallbacks to maintain strict state management across multi-agent interactions.
Production observability for AI agents requires tracking traces, metrics, and costs across interactions, ensuring resilient fallback chains and strict state management to maintain reliable performance monitoring throughout the workflow lifecycle.
Yes, you need Pydantic and TypedDict for strict state management in LangGraph workflows, as they enforce structured data validation and persistent state across multi-agent interactions, preventing deadlocks and ensuring reliable execution.
dhar174Design, implement, and debug state schemas for LangGraph applications.
Harmeet10000Configure Prometheus scrape targets, alert rules, and service discovery for monitoring.
lamb92009Designs and implements Retrieval-Augmented Generation architectures with hybrid search and metadata enrichment for scalable pipelines.
Kushal9889Automate building and managing AI agents with CrewAI and LangGraph.
