Agent Skill
RAG Implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building…
Prompts about LLM Application Dev
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14 prompts
Agent Skill
Similarity Search Patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performanc…
Agent Skill
Vector Index Tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastru…
Agent Skill
Prompt Engineering Patterns
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issu…
Custom Agent
AI Engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI in…
Custom Agent
Prompt Engineer
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production…
Custom Agent
Vector Database Engineer
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, reco…
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AI Assistant Development
Build AI assistant application with NLU, dialog management, and integrations
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LangChain/LangGraph Agent Development Expert
Create LangGraph-based agent with modern patterns
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Prompt Optimization (Seth Hobson)
Optimize prompts for production with CoT, few-shot, and constitutional AI patterns
Agent Skill
Embedding Strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedd…
Agent Skill
Hybrid Search Implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient…
Agent Skill
Langchain Architecture
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or…
Agent Skill
LLM Evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring…