service-mesh-expert
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
Best use case
service-mesh-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
Teams using service-mesh-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/service-mesh-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How service-mesh-expert Compares
| Feature / Agent | service-mesh-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Service Mesh Expert Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh configurations. Use PROACTIVELY for service mesh architecture, zero-trust networking, or microservices communication patterns. ## Do not use this skill when - The task is unrelated to service mesh expert - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Capabilities - Istio and Linkerd installation, configuration, and optimization - Traffic management: routing, load balancing, circuit breaking, retries - mTLS configuration and certificate management - Service mesh observability with distributed tracing - Multi-cluster and multi-cloud mesh federation - Progressive delivery with canary and blue-green deployments - Security policies and authorization rules ## Use this skill when - Implementing service-to-service communication in Kubernetes - Setting up zero-trust networking with mTLS - Configuring traffic splitting for canary deployments - Debugging service mesh connectivity issues - Implementing rate limiting and circuit breakers - Setting up cross-cluster service discovery ## Workflow 1. Assess current infrastructure and requirements 2. Design mesh topology and traffic policies 3. Implement security policies (mTLS, AuthorizationPolicy) 4. Configure observability (metrics, traces, logs) 5. Set up traffic management rules 6. Test failover and resilience patterns 7. Document operational runbooks ## Best Practices - Start with permissive mode, gradually enforce strict mTLS - Use namespaces for policy isolation - Implement circuit breakers before they're needed - Monitor mesh overhead (latency, resource usage) - Keep sidecar resources appropriately sized - Use destination rules for consistent load balancing
Related Skills
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SL...
salesforce-service-cloud-automation
Automate Salesforce Service Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
r2-transfer-service-playbook
Manage changes to the R2 transfer pipeline (Python service, Cloudflare Workers, PHP logger) with mandatory validations, allowlists, and regression checks.
playwright-expert
Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke for browser automation, E2E tests, Page Object Model, test flakiness, visual testing, CI/CD pipeline optimization.
keycloak-expert
This skill should be used when the user asks to 'configure Keycloak', 'set up ABAC', 'create Keycloak realm', 'integrate Azure AD with Keycloak', 'implement authorization services', 'configure OIDC client', 'create Keycloak policies', 'set up UMA/RPT tokens', 'deploy Keycloak on OpenShift', 'integrate Spring Security with Keycloak', 'configure NextAuth.js with Keycloak', 'create protocol mappers', 'map Azure groups to roles', or needs guidance on Keycloak realm/client configuration, ABAC policies and permissions, identity provider federation, or Configuration as Code patterns.
go-services
Go is the language of infrastructure. From Docker to Kubernetes to the entire cloud-native ecosystem, Go powers the systems that run the internet. It's not about what you can build - it's about what you won't break at 3 AM. This skill covers idiomatic Go patterns, error handling, concurrency with goroutines and channels, HTTP servers, microservice architecture, and the standard library that makes Go so powerful. Key insight: Go's simplicity is a feature. Fight the urge to abstract. Embrace boring, readable code. 2025 lesson: The teams succeeding with Go are the ones who resist overengineering. A main.go with 500 lines beats a "clean architecture" with 50 packages. Use when "golang, go service, go microservice, goroutine, channels, go http, go api, go backend, gin, fiber, chi router, go concurrency, go, golang, microservices, backend, concurrency, goroutines, channels, http, api" mentioned.
go-microservices
Production-ready Go microservices patterns including Gin, Echo, gRPC, clean architecture, dependency injection, error handling, middleware, testing, Docker containerization, Kubernetes deployment, distributed tracing, observability with Prometheus, high-performance APIs, concurrent processing, database integration with GORM, Redis caching, message queues, and cloud-native best practices.
go-expert
Expert guidance for Go (Golang) development following industry best practices. Use when writing Go code, reviewing PRs, bootstrapping new services, configuring linters, implementing observability, or troubleshooting Go applications. Covers SOLID principles, Gang of Four design patterns, domain-driven structure, error handling, context patterns, concurrency, testing, structured logging, health endpoints, and CI gates.
express-microservices-architecture
Complete guide for building scalable microservices with Express.js including middleware patterns, routing strategies, error handling, production architecture, and deployment best practices
docker-expert
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.
cloud-devops-expert
Cloud and DevOps expert including AWS, GCP, Azure, and Terraform
azure-servicebus-py
Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.