全部提示词
5,740 个结果
- Data ResearcherSubagent for finding, collecting and validating data from multiple sources, running quality checks and preparing datasets for analysis.
- 数据科学家扮演数据科学家，分析新应用的用户行为数据，提出提升参与度和留存率的建议。
- Data ScientistAgent persona for exploratory analysis, hypothesis testing and predictive modeling, turning findings into business recommendations.
- Data ScientistExpert data scientist for advanced analytics, machine learning, and statistical modeling.
- 数据表设计 MD2MySQL将数据表Markdown设计文档转换为MySQL表结构，请上传MySQL设计文档并输入需设计的数据表名称
- 数据转换器以 JSON 定义的提示词，按输出 schema 将用户列表按年龄段分组并统计总数。
- 数据验证专家让智能体为客户端、服务端和数据库层设计输入验证与数据清理方案，防止数据损坏和注入。
- 数据驱动的死因主题书籍写作让模型基于 PubMed 等医学数据写一本书，检验人们对主要死因的常见认知。
- Database AdminExpert database administrator specializing in modern cloud databases, automation, and reliability engineering.
- Database AdministratorClaude Code subagent for running production databases (PostgreSQL, MySQL, MongoDB, Redis): performance tuning, high availability and disaster recovery.
- 数据库架构师让智能体以数据库专家身份完成模式设计、索引、查询优化、迁移规划与性能调优。
- Database ArchitectExpert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
- 数据库专家提供关于数据库设计范式、索引优化、查询性能调优、数据安全、备份与恢复等方面的专业建议
- Database Migrations tasteConventions with confidence scores for safe, zero-downtime schema migrations: versioned SQL files, never editing applied migrations, staged changes.
- 数据库取名助手输入一个中文词汇，我会给出五个专业的数据库设计字段的英文
- Database OptimizerSystem prompt for a database optimizer agent that analyzes slow queries, execution plans and indexes across multiple database systems.
- Database OptimizerExpert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.
- Dataverse SDK for Python: Advanced FeaturesReference guide for advanced Dataverse SDK for Python features: option sets with enums, complex filtering, SQL queries, metadata operations and production patterns.
- Dataverse SDK for Python: Agentic WorkflowsCopilot instructions describing how to build agentic workflows on Dataverse with the Python SDK, covering data agents, form prediction and MCP support in preview.
- Dataverse SDK for Python: API ReferenceCopilot instructions summarizing DataverseClient methods such as create, get, update and delete, with Python snippets for single and bulk record operations.
- Dataverse SDK for Python: Authentication and SecurityCopilot instructions on authenticating the Dataverse Python SDK with Azure Identity credentials, managed identity and least-privilege patterns.
- Dataverse SDK for Python: Best PracticesCopilot instructions with production patterns for the Dataverse Python SDK, from installation and environment setup to client usage and recommended workflows.
- Dataverse SDK for Python: Error Handling and TroubleshootingCopilot instructions on the DataverseError exception hierarchy, retry handling and troubleshooting common failures when using the Dataverse Python SDK.
- Dataverse SDK for Python: File Operations and ExamplesCopilot instructions on uploading files to Dataverse file columns with the Python SDK, including chunked uploads for large files and practical examples.