llm-app-patterns

What problem does it solve?

This Skill provides battle-tested patterns and code examples for building robust, scalable, and observable LLM applications, addressing common challenges in RAG, agent design, and LLMOps.

Core Features & Use Cases

• RAG Pipelines: Implement document ingestion, embedding, retrieval, and generation strategies.
• Agent Architectures: Explore ReAct, Function Calling, Plan-and-Execute, and Multi-Agent patterns.
• Prompt Engineering: Utilize prompt templates, versioning, and chaining for effective LLM interaction.
• LLMOps: Integrate logging, tracing, caching, rate limiting, and evaluation frameworks.
• Use Case: You're building a customer support chatbot that needs to answer questions based on your company's knowledge base. This Skill provides the RAG patterns to retrieve relevant information and generate accurate answers.

Quick Start

Use the llm-app-patterns skill to implement a RAG pipeline for your documents.