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arch-microservices架构微服务

Agent Skill

arch-microservices 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

356

周安装

15

GitHub Stars

4

下载量

125
CodexClaudeCursorGemini CLI

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:arch-microservices(架构微服务)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/arch-microservices
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch-microservices
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。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch-microservices

简介

用于微服务拆分与治理策略设计,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。

  • 支持 API 网关与服务网格。
  • 适合单体应用向分布式演进场景。
  • 使用时需评估团队规模与运维能力匹配度。
  • arch-microservices 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

arch-microservices

Purpose

This skill enables the AI to design, decompose, and implement microservices architectures using specific tools like Kong/Traefik for API gateways, Istio for service meshes, and patterns like circuit breakers and sagas for resilience. Focus on breaking down monoliths into independent services while ensuring scalability and fault tolerance.

When to Use

Apply this skill when scaling applications beyond a monolith, such as e-commerce platforms with high traffic, or distributed systems needing isolation (e.g., payment processing separate from user management). Use it for new projects requiring API management or when retrofitting legacy apps for microservices to improve resilience and deployment speed.

Key Capabilities

  • Decompose monoliths: Identify bounded contexts and split into services, e.g., using domain-driven design to separate user and order services.
  • API Gateway: Configure Kong for routing and rate limiting, or Traefik for dynamic service discovery.
  • Service Mesh: Deploy Istio to handle inter-service communication, including mTLS and traffic shifting.
  • Circuit Breakers: Implement with Istio's Envoy proxies to prevent cascading failures by tripping breakers on high error rates.
  • Distributed Transactions: Use saga patterns for long-running processes or outbox for event-driven consistency, ensuring atomicity across services.

Usage Patterns

To decompose a monolith, analyze dependencies and create separate services: Start by mapping modules to microservices, then define APIs. For API gateways, route requests through Kong by defining services and routes. In service meshes, inject Istio sidecars into pods for automatic traffic management. For circuit breakers, configure Istio policies to detect failures and fallback. Use sagas by orchestrating transactions via a coordinator service. Example pattern: Wrap service calls in a saga for multi-step operations, committing or compensating based on outcomes.

Common Commands/API

For Kong API Gateway:

  • Create a service: curl -X POST http://localhost:8001/services --data "name=my-service&url=http://myapp.com"
  • Add a route: curl -X POST http://localhost:8001/services/my-service/routes --data "paths[]=/api" --data "methods[]=GET"
  • Config format: Use Kong's declarative config in YAML, e.g., _format_version: "1.1" services: - name: my-service url: http://myapp.com

For Istio Service Mesh:

  • Install Istio: istioctl install -y --set profile=demo
  • Apply a VirtualService for circuit breaking: kubectl apply -f - <<EOF apiVersion: networking.istio.io/v1alpha3 kind: VirtualService metadata: name: my-service spec: hosts: - my-service retries: attempts: 3 EOF
  • API Endpoint: Use Istio's control plane via istiod pod, e.g., query metrics with kubectl exec -it istiod-xyz -- curl localhost:15014/stats

For Saga/Outbox:

  • Implement saga: Use a library like Axon Framework; code snippet: Saga mySaga = Saga.builder().step(() -> orderService.createOrder()).step(() -> paymentService.process()).build(); mySaga.execute();
  • Outbox pattern: In a service, log events to a database table and process via a separate worker; config: SQL table like CREATE TABLE outbox (id UUID, payload JSONB);

Auth requirements: Set environment variables like $KONG_API_KEY for authenticated API calls, e.g., curl -H "apikey: $KONG_API_KEY" http://localhost:8001/services.

Integration Notes

Integrate Kong with Istio by running Kong as an Istio ingress gateway: Deploy Kong pod with Istio sidecar injection via Kubernetes annotation sidecar.istio.io/inject: "true". For Traefik, configure as a Kubernetes ingress controller using a ConfigMap: kubectl apply -f traefik-config.yaml with content like api: {} entryPoints: web: address: ":80". When combining with other skills (e.g., se-deployment), ensure services are deployed with compatible labels, such as app: my-microservice, and use $ISTIO_NAMESPACE env var for multi-namespace setups. For saga patterns, integrate with message queues like Kafka by publishing events: kafka-producer.send("topic", eventPayload).

Error Handling

Handle circuit breaker errors in Istio by configuring fallbacks in VirtualServices: Set route: fault: abort: percentage: 100 httpStatus: 503 for simulated failures, then monitor with kubectl logs istiod-xyz | grep error. For sagas, implement compensating actions on failure, e.g., if an order fails, call a rollback method: Code snippet:

try { saga.execute(); } catch (Exception e) { saga.compensate(); log.error("Saga failed: " + e.getMessage()); }

For API gateways, use Kong's plugins for error responses: Add a plugin with curl -X POST http://localhost:8001/services/my-service/plugins --data "name=request-termination" --data "config.status_code=503". Always check logs with kong logs or istioctl analyze for validation errors, and use env vars like $ERROR_WEBHOOK_URL to notify external systems.

Concrete Usage Examples

  1. Decomposing and deploying a microservices app: For a blog platform, split into "posts" and "comments" services. Decompose by creating separate Docker images, then set up Kong: Command: docker run -d -p 8000:8000 kong:latest; curl -X POST http://localhost:8000/services -d 'name=posts-service&url=http://posts-app:8080'. Integrate with Istio: istioctl create -f posts-virtualservice.yaml to add circuit breaking.
  2. Implementing resilience in a payment system: Use Istio for service mesh and saga for transactions. Configure a circuit breaker: kubectl apply -f circuitbreaker.yaml with content apiVersion: networking.istio.io/v1alpha3 kind: DestinationRule spec: trafficPolicy: connectionPool: tcp: maxConnections: 100 outlierDetection: consecutiveErrors: 5 interval: 10m. For sagas, orchestrate payment flow: Code snippet:
Saga paymentSaga = Saga.builder().step(() -> reserveFunds()).step(() -> processPayment()).build();
paymentSaga.executeWithCompensation();

Graph Relationships

  • Related to: se-deployment (for deploying and scaling microservices built with this skill)
  • Connected to: se-scaling (for integrating auto-scaling with Istio's traffic management)
  • Part of cluster: se-architecture (shares tags like "architecture" for broader system design)
  • Links to: se-monitoring (for observing metrics from Kong and Istio setups)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.09%
按下载量换算45

Claude

31.93%
按下载量换算40

Cursor

18.67%
按下载量换算23

Gemini CLI

10.1%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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