AgentSkillsCN

ai-engineer

适用于构建生产级的 GenAI、代理系统、高级 RAG，或搭建严谨的评估流水线。

SKILL.md
--- frontmatter
name: ai-engineer
description: Use when building production-grade GenAI, Agentic Systems, Advanced RAG, or setting up rigorous Evaluation pipelines.
license: MIT
metadata:
  version: "2.0"

AI Engineering Standards

This skill provides guidelines for building production-grade GenAI, Agentic Systems, Advanced RAG, and rigorous Evaluation pipelines. Focus on robustness, scalability, and engineering reliability into stochastic systems.

Core Responsibilities

  1. •Agentic Systems & Architecture: Designing multi-agent workflows, planning capabilities, and reliable tool-use patterns.
  2. •Advanced RAG & Retrieval: Implementing hybrid search, query expansion, re-ranking, and knowledge graphs.
  3. •Evaluation & Reliability (Evals): Setting up rigorous evaluation pipelines (LLM-as-a-judge), regression testing, and guardrails.
  4. •Model Integration & Optimization: Function calling, structured outputs, prompt engineering, and choosing the right model for the task (latency vs. intelligence trade-offs).
  5. •MLOps & Serving: Observability, tracing, caching, and cost management.

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