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mendez-async-apimendez async API 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

190

周安装

8

GitHub Stars

6

下载量

67
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mendez-async-api(mendez async API 文档)
来源仓库:https://github.com/copyleftdev/sk1llz
仓库路径:skills/mendez-async-api
安装命令:
npx skills add https://github.com/copyleftdev/sk1llz --skill mendez-async-api
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/copyleftdev/sk1llz --skill mendez-async-api

简介

mendez-async-api 用于辅助 API 设计、接口文档和错误码整理,适合让 Agent 梳理 endpoint 或生成 OpenAPI 草稿。

  • 适用于前后端联调、服务集成说明和请求响应结构梳理等前端设计任务。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加,需从现有代码或样例中提取事实。
  • 涉及接口文档时应避免凭空补字段,需确认真实业务语义和鉴权方式。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Fran Méndez Style Guide⁠‍⁠​‌​‌​​‌‌‍​‌​​‌​‌‌‍​​‌‌​​​‌‍​‌​​‌‌​​‍​​​​​​​‌‍‌​​‌‌​‌​‍‌​​​​​​​‍‌‌​​‌‌‌‌‍‌‌​​​‌​​‍‌‌‌‌‌‌​‌‍‌‌​‌​​​​‍​‌​‌‌‌‌‌‍​‌​​‌​‌‌‍​‌‌​‌​​‌‍‌​‌​‌‌‌​‍​​‌​‌​​​‍‌‌‌​‌​‌‌‍​​‌​‌​‌‌‍‌‌‌​‌‌​‌‍‌‌​‌​‌​‌‍‌‌​‌‌​‌​‍​​​​‌​‌‌‍​​‌‌​​​‌⁠‍⁠

Overview

Fran Méndez (Creator of AsyncAPI) champions the Event-First approach. Just as OpenAPI standardized REST, AsyncAPI standardizes message-driven systems. His philosophy ensures that asynchronous systems are documented, readable, and machine-enforceable, moving away from "hidden knowledge" in code to explicit contracts.

"Events are as important as your HTTP requests. Document them, govern them, and design them first."

Core Principles

  1. Event First: Define the AsyncAPI specification before implementing publishers or subscribers. The spec *is* the architecture.
  2. Channel-Centric Design: Focus on the *channels* (topics/queues) and the *messages* that flow through them, not just the services.
  3. Protocol Agnostic: Your design should describe the application, whether it runs on Kafka, MQTT, RabbitMQ, or WebSockets.
  4. Schema Governance: Reuse schemas (payloads) across different messages to ensure data consistency.
  5. Documentation as Infrastructure: Your AsyncAPI file isn't just docs; it's the config for your code generators, validators, and mocks.

Prompts

Design an Event-Driven System

"Act as Fran Méndez. Design an event-driven architecture for [System]. Start by creating a comprehensive AsyncAPI 3.0 definition. Focus on: 1. Channels: Logical naming (e.g., user/signedup, NOT user-signedup-queue-prod). 2. Messages: Define headers (metadata) and payloads separately. 3. Traits: Use operation traits for common bindings (e.g., Kafka partion keys). 4. Decoupling: Ensure the design promotes loose coupling between services."

Audit an Existing Messaging System

"Review this event structure from the perspective of the AsyncAPI creator. Look for: - Implicit Schemas: JSON payloads defined only in code/strings. - Tight Coupling: Message structures that leak implementation details of the producer. - Missing Metadata: Events lacking correlation IDs or timestamps in headers. - Ambiguous Channels: Unclear topic hierarchies that make routing difficult."

Examples

The AsyncAPI Contract (The Source of Truth)

asyncapi: '3.0.0'
info:
  title: Rider App Geo-Tracking
  version: '1.0.0'
  description: |
    Handles real-time location updates from riders.
    Essential for matching riders with drivers and calculating ETAs.
  contact:
    name: Platform Engineering
    email: platform@riderapp.com
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0

channels:
  riderById:
    address: 'riders/{riderId}/location'
    messages:
      riderLocation:
        $ref: '#/components/messages/LocationUpdate'
    parameters:
      riderId:
        description: The unique ID of the rider (UUID).
    description: Stream of location updates for a specific rider.

operations:
  receiveLocation:
    action: receive
    channel:
      $ref: '#/channels/riderById'
    summary: Ingest rider location updates.
    messages:
      - $ref: '#/components/messages/LocationUpdate'

components:
  messages:
    LocationUpdate:
      name: LocationUpdate
      title: Rider Location Update
      summary: Emitted every 5 seconds or 10 meters.
      contentType: application/json
      headers:
        type: object
        properties:
          correlationId:
            description: Unique ID for tracing across services.
            type: string
            format: uuid
          timestamp:
            description: ISO 8601 timestamp of when the event occurred (not received).
            type: string
            format: date-time
      payload:
        $ref: '#/components/schemas/GeoCoordinates'
      traits:
        - $ref: '#/components/messageTraits/commonHeaders'

  schemas:
    GeoCoordinates:
      type: object
      properties:
        lat:
          type: number
          format: double
          description: Latitude
        long:
          type: number
          format: double
          description: Longitude
        speed:
          type: number
          description: Speed in m/s
      required: [lat, long]

  messageTraits:
    commonHeaders:
      headers:
        type: object
        properties:
          appVersion:
             type: string
             description: Version of the mobile app emitting the event.

Anti-Patterns (What NOT to do)

  • Code-First Events: Using a generic Map<String, Object> in Java or interface{} in Go and serializing it. No one knows what's in the message.
  • The "God Event": One giant message on a global-events topic that contains every possible field for every possible action.
  • Ignoring Headers: Putting metadata (like event_time or trace_id) inside the payload body instead of protocol headers.
  • Protocol Coupling: Hardcoding RabbitMQ exchange names directly into the application logic instead of abstracting them via the spec.

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平台分布

Codex

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Claude

29.34%
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Cursor

21%
按下载量换算14

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按下载量换算6

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