ai-native-development

npx skills add majiayu000/claude-skill-registry --skill ai-native-development --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# AI-Native Development ## Overview AI-Native Development focuses on building applications where AI is a first-class citizen, not an afterthought. This skill provides comprehensive patterns for integrating LLMs, implementing RAG (Retrieval-Augmented Generation), using vector databases, building agentic workflows, and optimizing AI application performance and cost. **When to use this skill:** - Building chatbots, Q&A systems, or conversational interfaces - Implementing semantic search or recommendation engines - Creating AI agents that can use tools and take actions - Integrating LLMs (OpenAI, Anthropic, open-source models) into applications - Building RAG systems for knowledge retrieval - Optimizing AI costs and latency - Implementing AI observability and monitoring --- ## Why AI-Native Development Matters Traditional software is deterministic; AI-native applications are probabilistic: - **Context is Everything**: LLMs need relevant context to provide accurate answers - **RAG Over Fine-Tuning**: Retrieval is cheaper and more flexible than fine-tuning - **Embeddings Enable Semantic Search**: Move beyond keyword matching to understanding meaning - **Agentic Workflows**: LLMs can reas

Find RAG patterns
grep -r "RAG" references/
Search for specific vector database
grep -A 10 "Pinecone Setup" references/vector-databases.md
Find agentic workflow examples
grep -B 5 "ReAct Pattern" references/agentic-workflows.md
Locate function calling patterns
grep -n "parallel.*tool" references/function-calling.md
Search for cost optimization
grep -i "cost\|pricing\|budget" references/observability.md