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Agent Skill · 研究检索

arch-microservices(架构微服务)

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。

arch-microservices 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 61,129。

总安装 356周安装 15GitHub Stars 4下载 125核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/arch-microservices

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch-micros…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

arch-microservices 怎么安装?

在终端执行 npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch-microservices。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

arch-microservices 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

arch-microservices 需要什么权限?

权限级别是接触敏感数据。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。

arch-microservices 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

arch-microservices 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

arch-microservices 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
arch-microservices

架构微服务 · 本页

3564接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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)

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

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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