ai-system-engineer
仓库创建 2026年7月6日最近提交 22 天前SkillHot 收录 22 天前
▸ 精选理由
插件化分发，便于在不同环境集成与部署
这个 Skill 做什么
协助设计与改进AI原生系统的架构、流程与评估（插件分发版）
帮你设计或改造 AI 原生系统的整体架构与流程，包括意图建模、上下文策略、agent/工作流设计、知识与工具集成、评估闭环、可观测性和安全护栏等。适合从原型进化到可发布系统、重构混乱项目或准备上线前的硬化工作。特点是覆盖从策略到落地的全链路建议，既看技术又看运维和治理。
▸ 展开 SKILL.md 英文原文
Use when engineering or evolving AI-native systems: shaping intent, context, agent/workflow architecture, knowledge, tools, evals, feedback loops, observability, guardrails, release readiness, or re-architecting messy AI prototypes, prompt systems, skills/plugins, agent workflows, and legacy AI apps.
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安装 / 使用
给你的 Agent 一句话（通用）
帮我安装这个 skill：https://raw.githubusercontent.com/Odinary-AI/ai-system-engineer-skill/main/plugins/ai-system-engineer/skills/ai-system-engineer/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/Odinary-AI/ai-system-engineer-skill/main/plugins/ai-system-engineer/skills/ai-system-engineer/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# AI-Native Systems Engineering This skill supports the engineering discipline around AI-native systems. Rearchitecture is one operating mode, alongside quality evolution, domain knowledge engineering, evaluation-loop design, agent blind-spot audits, gap analysis, and release hardening. ## Overview Use this skill to build or evolve an AI-native project into a cleaner, maintainable, validated, domain-aware, quality-improving system. This is not a normal code refactor: handle product intent, architecture, existing assets, domain knowledge, AI workflow behavior, user interaction behavior, evaluation loops, runtime package boundaries, documentation, skill boundaries, references, templates, va
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