llm-application-dev

What problem does it solve?

This Skill provides the foundational knowledge and code patterns for developing applications powered by Large Language Models (LLMs), addressing the complexity of prompt engineering, data integration, and API interactions.

Core Features & Use Cases

• Prompt Engineering: Techniques for crafting effective prompts (structured, few-shot, chain-of-thought).
• API Integration: Examples for integrating with major LLM providers like OpenAI and Anthropic.
• RAG Implementation: Guidance on building Retrieval-Augmented Generation systems, including document chunking and embedding storage.
• Error Handling: Strategies for robust LLM API calls with retries and fallbacks.
• Use Case: Develop a customer support chatbot that leverages RAG to answer user queries based on a knowledge base, using structured prompts for consistent responses.

Quick Start

Use the llm-application-dev skill to generate a structured system prompt for a customer service agent.