training-data
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
浏览 doanchienthangdev 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
128收录技能的仓库 Stars 合计
384仓库 Forks
128平均每个技能的仓库 Stars
3同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
Agency-grade interface design with systematic aesthetic framework (BEAUTIFUL → RIGHT → SATISFYING → PEAK)
Claude writes comprehensive Python tests using pytest. Use when writing unit tests, creating fixtures, parametrizing tests, mocking dependencies, testing async code, or setting up CI test pipelines.
Deep learning foundations including neural network basics, backpropagation, optimization, regularization, and training best practices.
Claude builds immersive 3D web experiences with Three.js and React Three Fiber. Use when creating WebGL scenes, 3D animations, shaders, or physics simulations.
The agent enforces mandatory test completion before any task or feature can be marked as done, ensuring code quality through strict validation gates and evidence-based completion criteria.
Building robust AI systems including model monitoring, drift detection, reliability engineering, and failure handling for production ML.
Enterprise Ruby on Rails development with Active Record, API mode, testing, and production patterns
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。