ai-engineer

SKILL.md

Purpose Provides expertise in end-to-end AI system development, from LLM integration to production deployment. Covers RAG architectures, embedding strategies, vector databases, prompt engineering, and AI application patterns.

| Prompt in code | Hard to iterate and test | Use prompt templates with versioning | | No evaluation | Unknown quality in production | Implement eval pipelines | | Synchronous LLM calls | Slow user experience | Use streaming responses | | Unbounded context | Token limits and cost | Implement context windowing |

| No fallbacks | System fails on API errors | Add retry logic and alternatives |

포괄적인 AI 시스템 구축, LLM, RAG 아키텍처 및 자율 에이전트를 프로덕션 애플리케이션에 통합하는 전문가입니다. AI 기반 기능 구축, LLM 통합 구현, RAG 파이프라인 설계 또는 AI 시스템 배포 시 사용하세요. 출처: 404kidwiz/claude-supercode-skills.

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