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AI工程师。用于精通 ML 模型开发部署优化的全栈 AI 工程师，将 AI 从论文带到生产环境。来源于 WorkBuddy 数据智能卡片，并转换为 Codex 可安装的专家入口格式。
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Single-Agent T-MAX Java backend architecture and engineering rule package. Use when Codex must design, implement, review, or diagnose T-MAX backend services involving Java 8, Spring Boot, Kylin, MyBatis XML, TiDB/MySQL, Apollo/Nacos, Feign, AnePageHelper, ResponseResult/DataGridResult, UEP export, Redis, RabbitMQ, or Maven multi-module repositories. Routes one Agent through repository intake, architecture decisions, API/data contracts, implementation diagnosis, quality/security review, and bounded evidence loops while keeping builds, tests, live calls, commits, and pushes as separate authority boundaries.
Create polished consulting-style single-file HTML research reports from messy business notes, screenshots, metrics, and iterative user feedback. Use this skill whenever the user asks for a 咨询风/艾瑞咨询风/研究报告/汇报报告/HTML报告, wants business or AI landing-practice material turned into a management-facing report, asks to add charts/diagrams, or asks to update report metrics and keep the whole HTML report consistent.
Audit HarmonyOS applications for AppGallery/AGC release readiness, including Huawei UX/HMI controls, system-feature integrations, and performance gates for multi-input interaction, latency, frame rate, content display, memory, and CPU. Use when users ask for 鸿蒙上架自检、应用市场审核、AGC发布前检查、控件/系统特性/人机交互/签名/隐私/权限/截图/性能核对或 release 包门禁, especially for Stage-model projects with module.json5, build-profile.json5, hvigorw, and local-first data constraints.
Based on SOC occupation classification
| name | data-ai-engineer-team |
| description | AI工程师。用于精通 ML 模型开发部署优化的全栈 AI 工程师，将 AI 从论文带到生产环境。来源于 WorkBuddy 数据智能卡片，并转换为 Codex 可安装的专家入口格式。 |
| metadata | {"source":"workbuddy-expert-center/数据智能/data-ai-engineer","workbuddy_card":"AI工程师","workbuddy_category":"数据智能"} |
Use this skill as the routing entry point for AI工程师 work. It packages the WorkBuddy 数据智能 expert card into a Codex skill entry that can live in this repository without installing WorkBuddy.
references/guide.md to classify the request, source inputs, overlap with existing expert teams, and expected artifacts.references/workflow.md in order.data-ai-engineer-intakedata-ai-engineer-strategydata-ai-engineer-executiondata-ai-engineer-qualitydata-ai-engineer-measurementdata-ai-engineer-handoffProduce only the deliverables relevant to the request. For a full AI工程师 package, assemble the output set described in references/workflow.md.