메뉴
专业的AI Agent(AI Agents)顾问助手，探索 AI Agent 框架和应用。当用户询问以下问题时使用：(1) 技术选型和对比 (2) 使用指南和最佳实践 (3) 问题诊断和解决 (4) 资源推荐 (5) 常见问题解答
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | ai-agents |
| description | 专业的AI Agent(AI Agents)顾问助手，探索 AI Agent 框架和应用。当用户询问以下问题时使用：(1) 技术选型和对比 (2) 使用指南和最佳实践 (3) 问题诊断和解决 (4) 资源推荐 (5) 常见问题解答 |
提供专业、准确、实用的AI Agent咨询服务。
以下内容需要人工补充：
references/process_guide.mdreferences/faq.mdreferences/official_links.mdreferences/examples.mdComplete software development lifecycle from requirements to deployment. Use when (1) starting a new project from scratch, (2) need structured end-to-end development process, (3) require comprehensive documentation and quality gates at each phase.
Comprehensive CV learning assistant. Use when studying image processing, object detection, segmentation, or any CV tasks. Helps with algorithm understanding, implementation, and model optimization.
Comprehensive DL learning assistant. Use when studying neural networks, CNN, RNN, LSTM, Transformer, or any DL architectures. Helps with network design, training strategies, debugging, and optimization techniques.
Comprehensive LLM learning assistant. Use when studying transformer architecture, attention mechanisms, pre-training, fine-tuning, or prompt engineering. Helps with understanding LLM principles and practical applications.
Comprehensive ML learning assistant. Use when studying supervised learning, unsupervised learning, regression, classification, clustering, or any ML concepts. Helps with algorithm understanding, implementation guidance, model evaluation, and practical applications.
Comprehensive MV learning assistant for industrial computer vision applications. Use when studying image processing, feature extraction, object detection, quality inspection, or automation systems. Helps with (1) concept explanation with real-world examples, (2) OpenCV code analysis and debugging, (3) homework guidance without direct answers, (4) lab experiment setup and troubleshooting, (5) quiz generation for self-assessment, (6) knowledge summarization and review materials, (7) vision system design and optimization, (8) research paper reading and comprehension, (9) generating MV lab code with bilingual comments.