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Agent Skill · 研究检索

implementing-service-mesh(实施服务网格)

implementing-service-mesh 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。

implementing-service-mesh 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,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,063。

总安装 441周安装 18GitHub Stars 350下载 143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:implementing-service-mesh(实施服务网格)
来源仓库:https://github.com/ancoleman/ai-design-components
仓库路径:skills/implementing-service-mesh
安装命令:
npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-service-mesh
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/ancoleman/ai-design-components --skill implementing-service-mesh

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。

实施服务网格技能用于查找、检索和筛选相关信息。适用于 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的任务场景。核心能力包括微服务架构管理、流量控制和可观测性支持,提供分布式系统治理方案。

安装方式:github;安装命令:npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-service-mesh。使用前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/implementing-service-mesh

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/ancoleman/ai-design-components --skill impleme…;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

    它需要需要联网,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

implementing-service-mesh 怎么安装?

在终端执行 npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-serv…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

implementing-service-mesh 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。

implementing-service-mesh 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

implementing-service-mesh 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。

implementing-service-mesh 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 143 次,GitHub 350 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。

implementing-service-mesh 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 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
implementing-service-mesh

实施服务网格 · 本页

441350需要联网未明确未通过

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

Service Mesh Implementation

Purpose

Configure and deploy service mesh infrastructure for Kubernetes environments. Enable secure service-to-service communication with mutual TLS, implement traffic management policies, configure authorization controls, and set up progressive delivery strategies. Abstracts network complexity while providing observability, security, and resilience for microservices.

When to Use

Invoke this skill when:

  • "Set up service mesh with mTLS"
  • "Configure Istio traffic routing"
  • "Implement canary deployments"
  • "Secure microservices communication"
  • "Add authorization policies to services"
  • "Traffic splitting between versions"
  • "Multi-cluster service mesh setup"
  • "Configure ambient mode vs sidecar"
  • "Set up circuit breaker configuration"
  • "Enable distributed tracing"

Service Mesh Selection

Choose based on requirements and constraints.

Istio Ambient (Recommended for most):

  • 8% latency overhead with mTLS (vs 166% sidecar mode)
  • Enterprise features, multi-cloud, advanced L7 routing
  • Sidecar-less L4 (ztunnel) + optional L7 (waypoint)

Linkerd (Simplicity priority):

  • 33% latency overhead (lowest sidecar)
  • Rust-based micro-proxy, automatic mTLS
  • Best for small-medium teams, easy adoption

Cilium (eBPF-native):

  • 99% latency overhead, kernel-level enforcement
  • Advanced networking, sidecar-less by design
  • Best for eBPF infrastructure, future-proof

For detailed comparison matrix and architecture trade-offs, see references/decision-tree.md.

Core Concepts

Data Plane Architectures

Sidecar: Proxy per pod, fine-grained L7 control, higher overhead Sidecar-less: Shared node proxies (Istio Ambient) or eBPF (Cilium), lower overhead

Istio Ambient Components:

  • ztunnel: Per-node L4 proxy for mTLS
  • waypoint: Optional per-namespace L7 proxy for HTTP routing

Traffic Management

Routing: Path, header, weight-based traffic distribution Resilience: Retries, timeouts, circuit breakers, fault injection Load Balancing: Round robin, least connections, consistent hash

Security Model

mTLS: Automatic encryption, certificate rotation, zero app changes Modes: STRICT (reject plaintext), PERMISSIVE (accept both) Authorization: Default-deny, identity-based (not IP), L7 policies

Istio Configuration

Istio uses Custom Resource Definitions for traffic management and security.

VirtualService (Routing)

apiVersion: networking.istio.io/v1
kind: VirtualService
metadata:
  name: backend-canary
spec:
  hosts:
  - backend
  http:
  - route:
    - destination:
        host: backend
        subset: v1
      weight: 90
    - destination:
        host: backend
        subset: v2
      weight: 10

DestinationRule (Traffic Policy)

apiVersion: networking.istio.io/v1
kind: DestinationRule
metadata:
  name: backend-circuit-breaker
spec:
  host: backend
  trafficPolicy:
    connectionPool:
      tcp:
        maxConnections: 100
      http:
        http1MaxPendingRequests: 10
    outlierDetection:
      consecutiveErrors: 5
      interval: 30s
      baseEjectionTime: 30s

PeerAuthentication (mTLS)

apiVersion: security.istio.io/v1
kind: PeerAuthentication
metadata:
  name: default
  namespace: istio-system
spec:
  mtls:
    mode: STRICT

AuthorizationPolicy (Access Control)

apiVersion: security.istio.io/v1
kind: AuthorizationPolicy
metadata:
  name: allow-frontend
  namespace: production
spec:
  selector:
    matchLabels:
      app: backend
  action: ALLOW
  rules:
  - from:
    - source:
        principals:
        - cluster.local/ns/production/sa/frontend
    to:
    - operation:
        methods: ["GET", "POST"]
        paths: ["/api/*"]

For advanced patterns (fault injection, mirroring, gateways), see references/istio-patterns.md.

Linkerd Configuration

Linkerd emphasizes simplicity with automatic mTLS.

HTTPRoute (Traffic Splitting)

apiVersion: policy.linkerd.io/v1beta2
kind: HTTPRoute
metadata:
  name: backend-canary
spec:
  parentRefs:
  - name: backend
    kind: Service
  rules:
  - backendRefs:
    - name: backend-v1
      port: 8080
      weight: 90
    - name: backend-v2
      port: 8080
      weight: 10

ServiceProfile (Retries/Timeouts)

apiVersion: linkerd.io/v1alpha2
kind: ServiceProfile
metadata:
  name: backend.production.svc.cluster.local
spec:
  routes:
  - name: GET /api/data
    condition:
      method: GET
      pathRegex: /api/data
    timeout: 3s
    retryBudget:
      retryRatio: 0.2
      minRetriesPerSecond: 10

AuthorizationPolicy

apiVersion: policy.linkerd.io/v1alpha1
kind: AuthorizationPolicy
metadata:
  name: allow-frontend
spec:
  targetRef:
    kind: Server
    name: backend-api
  requiredAuthenticationRefs:
  - name: frontend-identity
    kind: MeshTLSAuthentication

For complete patterns and mTLS verification, see references/linkerd-patterns.md.

Cilium Configuration

Cilium uses eBPF for kernel-level enforcement.

CiliumNetworkPolicy (L3/L4/L7)

apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
  name: backend-access
spec:
  endpointSelector:
    matchLabels:
      app: backend
  ingress:
  - fromEndpoints:
    - matchLabels:
        app: frontend
    toPorts:
    - ports:
      - port: "8080"
      rules:
        http:
        - method: GET
          path: "/api/.*"

DNS-Based Egress

apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
  name: external-api-access
spec:
  endpointSelector:
    matchLabels:
      app: backend
  egress:
  - toFQDNs:
    - matchName: "api.github.com"
    toPorts:
    - ports:
      - port: "443"

For mTLS with SPIRE and eBPF patterns, see references/cilium-patterns.md.

Security Implementation

Zero-Trust Architecture

  1. Enable strict mTLS (encrypt all traffic)
  2. Default-deny authorization policies
  3. Explicit allow rules (least privilege)
  4. Identity-based access control
  5. Audit logging

Example (Istio):

# Strict mTLS
apiVersion: security.istio.io/v1
kind: PeerAuthentication
metadata:
  name: strict-mtls
  namespace: production
spec:
  mtls:
    mode: STRICT
---
# Deny all by default
apiVersion: security.istio.io/v1
kind: AuthorizationPolicy
metadata:
  name: deny-all
  namespace: production
spec: {}

Certificate Management

  • Automatic rotation (24h TTL default)
  • Zero-downtime updates
  • External CA integration (cert-manager)
  • SPIFFE/SPIRE for workload identity

For JWT authentication and external authorization (OPA), see references/security-patterns.md.

Progressive Delivery

Canary Deployment

Gradually shift traffic with monitoring.

Stages:

  1. Deploy v2 with 0% traffic
  2. Route 10% to v2, monitor metrics
  3. Increase: 25% → 50% → 75% → 100%
  4. Cleanup v1 deployment

Monitor: Error rate, latency (P95/P99), throughput

Blue/Green Deployment

Instant cutover with quick rollback.

Process:

  1. Deploy green alongside blue
  2. Test green with header routing
  3. Instant cutover to green
  4. Rollback to blue if needed

Automated Rollback (Flagger)

apiVersion: flagger.app/v1beta1
kind: Canary
metadata:
  name: backend
spec:
  targetRef:
    kind: Deployment
    name: backend
  service:
    port: 8080
  analysis:
    interval: 1m
    threshold: 5
    maxWeight: 50
    stepWeight: 10
    metrics:
    - name: request-success-rate
      thresholdRange:
        min: 99

For A/B testing and detailed patterns, see references/progressive-delivery.md.

Multi-Cluster Mesh

Extend mesh across Kubernetes clusters.

Use Cases: HA, geo-distribution, compliance, DR

Istio Multi-Primary:

# Install on cluster 1
istioctl install --set values.global.meshID=mesh1 \
  --set values.global.multiCluster.clusterName=cluster1

# Exchange secrets for service discovery
istioctl x create-remote-secret --context=cluster2 | \
  kubectl apply -f - --context=cluster1

Linkerd Multi-Cluster:

# Link clusters
linkerd multicluster link --cluster-name cluster2 | \
  kubectl apply -f -

# Export service
kubectl label svc/backend mirror.linkerd.io/exported=true

For complete setup and cross-cluster patterns, see references/multi-cluster.md.

Installation

Istio Ambient Mode

curl -L https://istio.io/downloadIstio | sh -
istioctl install --set profile=ambient -y
kubectl label namespace production istio.io/dataplane-mode=ambient

Linkerd

curl -sL https://run.linkerd.io/install-edge | sh
linkerd install --crds | kubectl apply -f -
linkerd install | kubectl apply -f -
kubectl annotate namespace production linkerd.io/inject=enabled

Cilium

helm install cilium cilium/cilium \
  --namespace kube-system \
  --set meshMode=enabled \
  --set authentication.mutual.spire.enabled=true

Troubleshooting

mTLS Issues

# Istio: Check mTLS status
istioctl authn tls-check frontend.production.svc.cluster.local

# Linkerd: Check edges
linkerd edges deployment/frontend -n production

# Cilium: Check auth
cilium bpf auth list

Traffic Routing Issues

# Istio: Analyze config
istioctl analyze -n production

# Linkerd: Tap traffic
linkerd tap deployment/backend -n production

# Cilium: Observe flows
hubble observe --namespace production

For complete debugging guide and solutions, see references/troubleshooting.md.

Integration with Other Skills

kubernetes-operations: Cluster setup, namespaces, RBAC security-hardening: Container security, secret management infrastructure-as-code: Terraform/Helm for mesh deployment building-ci-pipelines: Automated canary, integration tests performance-engineering: Latency benchmarking, optimization

Reference Files

  • references/decision-tree.md - Service mesh selection and comparison
  • references/istio-patterns.md - Istio configuration examples
  • references/linkerd-patterns.md - Linkerd patterns and best practices
  • references/cilium-patterns.md - Cilium eBPF policies and mTLS
  • references/security-patterns.md - Zero-trust and authorization
  • references/progressive-delivery.md - Canary, blue/green, A/B testing
  • references/multi-cluster.md - Multi-cluster setup and federation
  • references/troubleshooting.md - Common issues and debugging

平台分布

Codex

32.98%
按下载量换算47

Claude

28.81%
按下载量换算41

Cursor

20.06%
按下载量换算29

Gemini CLI

8.55%
按下载量换算12

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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