Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
Quickly install ai-engineer AI skill to your development environment via command line
Source: curiositech/some_claude_skills.
Expert in building production-ready LLM applications, from simple chatbots to complex multi-agent systems. Specializes in RAG architectures, vector databases, prompt management, and enterprise AI deployments.
RAG System Design | Component | Implementation | Best Practices |
| Chunking | Semantic, token-based, hierarchical | 512-1024 tokens, overlap 10-20% | | Embedding | OpenAI, Cohere, local models | Match model to domain | | Vector DB | Pinecone, Weaviate, Chroma, Qdrant | Index by use case | | Retrieval | Dense, sparse, hybrid | Start hybrid, tune | | Reranking | Cross-encoder, Cohere Rerank | Always rerank top-k |
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications. Source: curiositech/some_claude_skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/curiositech/some_claude_skills --skill ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications. Source: curiositech/some_claude_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/curiositech/some_claude_skills --skill ai-engineer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/curiositech/some_claude_skills