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From billy-milligan
Provides AI/LLM patterns: Anthropic SDK streaming with TypeScript, RAG (chunking, pgvector vector search), tool use, model selection (Haiku/Sonnet/Opus), prompt caching, Zod outputs, token management. For AI features, RAG, agents.
How this skill is triggered — by the user, by Claude, or both
Slash command
/billy-milligan:ai-llm-patternsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Building AI features with Claude / Anthropic SDK
references/prompt-engineering.md — streaming with SSE, model selection guide (Haiku/Sonnet/Opus), prompt caching, structured output with Zodreferences/rag-architecture.md — chunking strategy, embedding with text-embedding-3-small, pgvector cosine search, retrieval pipelinereferences/llm-ops.md — tool use / agent loop pattern, cost tracking, token budgeting, multi-model routing, error handlingnpx claudepluginhub rnavarych/alpha-engineer --plugin billy-milliganProvides production-ready patterns for building LLM applications: RAG pipelines, document chunking, embedding models, vector database selection, and agent architectures.
Provides production-ready patterns for LLM apps including RAG pipelines, chunking strategies, vector DB selection, embedding models, and AI agent architectures. Use for designing RAG systems, agents, and LLMOps.
Provides LLM integration patterns including API clients, streaming responses, function calling (tool use), and RAG pipelines. Useful when building AI features with Anthropic's SDK.