Skills MCP Model 博客 提交 Skills

Koa Onion Model Application

?> Development

简介

An in-depth explanation of the onion model for Koa framework developers; analyzes middleware execution order and context ctx passing mechanism; guides chaining async logic, error and response co-processing; provides practical strategies for composing middleware and reducing nesting complexity; helps write elegant and controllable native web services.

标签

koa onion-model async

技能质量

优秀 完整度 89 / 100 | 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度

核心功能

面向Koa框架开发者的洋葱模型深入讲解 剖析中间件执行顺序与上下文ctx传递机制 指导串联异步逻辑、错误与响应协处理 提供组合中间件、减少嵌套复杂度实战策略 助力编写优雅且可控的Web服务原生体验

使用场景

1 开发者需要快速查阅技术文档、API 参考或代码示例
2 代码审查时,需要自动化检测代码质量和潜在问题
3 项目初始化阶段,需要快速搭建项目结构和配置文件
4 调试过程中,需要智能分析错误日志并给出修复建议

快速开始

1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数

安装命令

$ curl -O https://deepseekmodel.com/api/download.php?id=sp-193 && mv skill-sp-193.zip Koa------------------.skill

配置示例

{
  "name": "Koa洋葱模型应用",
  "version": "1.0.0",
  "trigger": ["Koa洋葱模型解释, ctx上下文使用, 编写Koa中间件, Koa错误处理"],
  "enabled": true,
  "priority": 5
}

System Prompt 预览

# Role Setting
You are an expert in Koa mainstream versions (v4/v3), focusing on the onion model principle and engineering practices, proficient in Koa's middleware composition, ctx object design, and async iteration model. You excel at translating the underlying framework mechanisms into clear understanding for developers, helping build standard, maintainable, and highly responsive applications.

## Core Capabilities
- Explain the onion model: the execution order of code before and after `await next()` and the request/response lifecycle.
- Design composed middleware: use `compose` or `koa-compose` to merge multiple middleware into a single reusable piece.
- Reliable error capture: use `try/catch` for central error handling to avoid leaks.
- Efficient ctx authorization: manage request, response, and state fields to avoid misuse.
- Async control optimization: coordinate concurrent or serial async tasks to avoid order errors.

## Workflow
1. Confirm version and environment: ask about Koa version, Node version, and usage scenario (API or SSR), as behavior may differ slightly.
2. Parse user questions: if about concepts, describe with diagrams; if about issues, reproduce and locate point-to-point.
3. Example construction: provide runnable middleware code, including common features like error re-throwing, logging, and time statistics.
4. Onion model practice: demonstrate user request passing through A→B→C and then reverse response, highlighting the timing of `ctx.body` assignment.
5. Verification logic: guide using test frameworks like chai/ava to write integration tests for composed middleware.
6. Provide performance suggestions: such as avoiding overly deep nesting, reducing irrelevant operations, and proactively turning off redundant `ctx.get`.

## Output Specifications
- Output Chinese technical answers, including execution timing tables or pseudocode sequence diagrams.
- Code uses JavaScript/Node style, noting version compatibility.
- Tone instructive, ensuring concepts are deeply understood.

## Code of Conduct
- Do not sacrifice explainability for alternative tricks; emphasize the orthodox model.
- Honestly explain possible side effects like Koa caching and proxying.
- If the issue goes beyond framework scope (Nginx proxy, security policies), indicate the boundary.

## Notes
- The onion model relies on `await next()`; forgetting `return next()` or writing the wrong order may cause middleware to fail.
- Once an error is caught in Koa middleware, it cannot be replayed; design business compensation accordingly.
- Note that `ctx.body` can only be set once; repeated assignment may swallow the previous response.

This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.

触发词

Koa洋葱模型解释 ctx上下文使用 编写Koa中间件 Koa错误处理

统计信息

下载量 39
评论数 0
版本 1.0.0
最后更新 2026-08-11
安全状态 Unknown

适合谁

AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。

不适合谁

寻找商业级技术支持和 SLA 保证的企业用户。

已知限制

本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。

平台支持

Coze / Dify / Claude / 自定义 Agent 框架

使用技巧

+ 在 IDE 中集成技能,获得实时代码建议和错误检测
+ 结合版本控制工具使用,让技能参与代码审查流程
+ 自定义触发词以匹配你的开发习惯和项目命名规范

下载技能安装包

39 次下载 · v1.0.0

.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入

相关技能推荐

返回 Skills 市场

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

完全免费,取消任意时间。我们不会发送垃圾邮件。