Llm Application Dev

This is a solid reference for building LLM-powered features into your applications. You get practical patterns for prompt engineering (structured prompts, few-shot examples, chain of thought), complete code samples for integrating OpenAI and Anthropic APIs, and a working RAG implementation with document chunking and vector search using pgvector. The error handling section covers retry logic and rate limiting, which you'll definitely need in production. It's TypeScript-focused and assumes you're familiar with async patterns. Best used when you're past the experimentation phase and need production-ready patterns for chatbots, semantic search, or AI-enhanced features.

Install to Claude Code

npx -y skills add moizibnyousaf/ai-agent-skills --skill llm-application-dev --agent claude-code