llm-application-dev
๐Pluginwshobson/agents
LLM Application Dev is a Claude Code plugin from the wshobson/agents marketplace for building production-ready LLM applications, advanced RAG systems, and intelligent agents with modern AI patterns.
Overview
LLM Application Dev is a Claude Code plugin from the wshobson/agents marketplace for building production-ready LLM applications, advanced RAG systems, and intelligent agents with modern AI patterns. Updated to version 2.0 with LangGraph integration, it includes three specialized agents (AI engineer, prompt engineer, and vector database engineer) along with eight skills covering LangGraph architecture, RAG implementation, evaluation, prompt engineering, embeddings, and hybrid search.
Key Features
- LangGraph-Based Agent Development: Build agent workflows using LangGraph StateGraph patterns with memory, tool use, and durable execution via checkpointers, replacing deprecated LangChain patterns
- Production RAG Systems: Implement retrieval-augmented generation with hybrid search (vector + keyword fusion), reranking, and optimized chunking strategies
- Vector Database Engineering: Expert guidance for Pinecone, Qdrant, Weaviate, Milvus, and pgvector with HNSW, IVF, and Product Quantization index optimization
- Prompt Engineering: Advanced techniques including chain-of-thought, few-shot learning, constitutional AI, structured outputs with Pydantic, and model-specific optimization for Claude and GPT models
- Embedding Strategy Optimization: Guidance on Voyage AI, OpenAI, and open-source embedding model selection with performance tuning
- LLM Evaluation Frameworks: Tools and patterns for evaluating LLM application quality, accuracy, and reliability
- Interactive Commands: Three commands for creating LangGraph agents, building AI assistants, and optimizing prompts for production
Who is this for?
AI engineers and developers building LLM-powered applications who need expert guidance on RAG architectures, agent workflows with LangGraph, vector search optimization, and prompt engineering best practices.
Part of
wshobson-agents
Installation
/plugin marketplace add wshobson/agents/plugin install llm-application-dev@claude-code-workflowsMore from this repository10
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