integrate-llms

What problem does it solve?

This Skill addresses the complexity of integrating Large Language Models (LLMs) into applications, providing patterns for reliable, scalable, and safe AI-powered features.

Core Features & Use Cases

• Prompt Engineering: Craft effective system prompts, few-shot examples, and chain-of-thought reasoning.
• Structured Outputs & Tool Use: Ensure LLM responses conform to JSON schemas and enable LLMs to call external tools.
• RAG Pipelines: Implement robust Retrieval-Augmented Generation for domain-specific knowledge.
• Agentic Patterns: Design autonomous agents using ReAct, planning, and reflection.
• Guardrails & Cost Optimization: Implement safety measures and reduce LLM operational expenses.
• Use Case: Integrate a customer support chatbot that can access a knowledge base (RAG), understand user intent, call external APIs (tool use), and provide structured, safe responses.

Quick Start

Use the integrate-llms skill to guide the integration of LLMs into your application.