plugins/llm-application-dev/README.md
Build production-ready LLM applications, advanced RAG systems, and intelligent agents with modern AI patterns.
| Agent | Description |
|---|---|
ai-engineer | Production-grade LLM applications, RAG systems, and agent architectures |
prompt-engineer | Advanced prompting techniques, constitutional AI, and model optimization |
vector-database-engineer | Vector search implementation, embedding strategies, and semantic retrieval |
| Skill | Description |
|---|---|
langchain-architecture | LangGraph StateGraph patterns, memory, and tool integration |
rag-implementation | RAG systems with hybrid search and reranking |
llm-evaluation | Evaluation frameworks for LLM applications |
prompt-engineering-patterns | Chain-of-thought, few-shot, and structured outputs |
embedding-strategies | Embedding model selection and optimization |
similarity-search-patterns | Vector similarity search implementation |
vector-index-tuning | HNSW, IVF, and quantization optimization |
hybrid-search-implementation | Vector + keyword search fusion |
| Command | Description |
|---|---|
/llm-application-dev:langchain-agent | Create LangGraph-based agent |
/llm-application-dev:ai-assistant | Build AI assistant application |
/llm-application-dev:prompt-optimize | Optimize prompts for production |
/plugin install llm-application-dev
initialize_agent()MIT License - See the plugin configuration for details.