Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Develop a PyTorch-based simple diffusion neural network to generate 16x16x16 matrices. The implementation must include a custom dataset loader that reads .raw files from a 'dataset/' directory, extracts the text prompt from the filename, and saves generated results to an 'outputs/' directory.
生成使用PyTorch和Hugging Face Transformers库的英语到中文翻译代码，指定使用'Helsinki-NLP/opus-mt-en-zh'模型，并配置GPU加速。
针对海量数据场景，使用 Canvas 和 React 开发高性能虚拟表格，支持局部渲染和单元格级更新优化。
Implementa um comportamento de formulário onde os campos permanecem editáveis após o envio, mas editar eles aciona um diálogo de confirmação que reseta o estado do formulário.
编写一个React组件，用于展示JSON格式的键值对数据。该组件需处理value为数组或包含换行符的字符串的情况，要求Key独占一行并加粗，每个Value元素独占一行。
Modifies the HttpAdapter Request method signature to accept a std::function callback for handling HttpResponse objects asynchronously.
Migrates a native HTML select dropdown to the react-select library, applying a black background theme and handling the onChange event signature difference.
Guides the user on adding a new TEXT column to a PostgreSQL table using SQLx migrations and backfilling existing rows with nanoid values, specifically targeting rows where the column is NULL.
在R中，针对数据集的某一分层变量（如年龄），在每一层内对另一分组变量（如学历）的各个水平之间进行两两独立样本t检验，并输出统计结果。