Skill UI

Wire a repository through the Caveman Cloud gateway so every LLM request is measured with no behavior change. Provides step-by-step integration for OpenAI, Anthropic, Vercel AI SDK, LangChain, LiteLLM, and raw HTTP callsites, with secure secret handling and an observed verification report.

Master the LangChain framework to build sophisticated LLM applications. Learn to implement agents, chains, memory management, and tool integration. This skill covers core concepts like ReAct agents, retrieval chains, and document processing pipelines. Ideal for creating autonomous AI agents and production-grade applications using Python.

Expert skill for building production-grade AI systems using LangChain 0.1+ and LangGraph. Covers agent architecture, RAG pipelines, memory systems, and deployment strategies. Ideal for developing sophisticated LLM applications with observability and scalability.

Design and optimize production-grade multi-agent systems using LangGraph, LangChain, and DeepAgents. Provides structured workflows for creating supervisor, planner, researcher, coder, and validator agents with memory and tool-calling pipelines.

This skill guides users on writing and debugging JavaScript or Python code for the n8n Custom Code Tool, which is invoked by AI agents via LangChain. It covers input schemas, sandbox limits, return formats, and security best practices. Unlike standard Code nodes, this tool requires string returns and specific input handling for AI interaction.

Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.