快速判断
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
最后校验2026-05-27
来源平台GitHub
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适合任务
- 把重复任务整理成可复用的 AI 操作流程。
- 让 AI 在特定场景下按统一规范执行。
- 为团队或个人工作流提供可复制的任务说明。
输入与输出
输入：任务目标、上下文材料、文件路径、约束条件或需要处理的内容。
输出：按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。
示例任务
- 使用 cqrs-implementation 帮我处理当前任务，并说明执行前需要确认的输入。
- 根据 cqrs-implementation 的说明，给我一个安全的使用步骤清单。
安装方式
- 下载本站提供的 Skill ZIP 并解压。
- 把解压后的 Skill 目录放入当前 AI 工具支持的
skills目录。 - 如需在线查看原始内容，可打开 GitHub 的
SKILL.md。
在线原始地址：cqrs-implementation/SKILL.md
风险边界
使用前请检查权限、外部依赖和要处理的数据类型。不要把密码、密钥、身份信息或敏感客户资料交给未经确认的 Skill。
SKILL.md 文档介绍
CQRS Implementation
Comprehensive guide to implementing CQRS (Command Query Responsibility Segregation) patterns.
Use this skill when
- Separating read and write concerns
- Scaling reads independently from writes
- Building event-sourced systems
- Optimizing complex query scenarios
- Different read/write data models are needed
- High-performance reporting is required
Do not use this skill when
- The domain is simple and CRUD is sufficient
- You cannot operate separate read/write models
- Strong immediate consistency is required everywhere
Instructions
- Identify read/write workloads and consistency needs.
- Define command and query models with clear boundaries.
- Implement read model projections and synchronization.
- Validate performance, recovery, and failure modes.
- If detailed patterns are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed CQRS patterns and templates.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.