service-mesh-expert

6 stars

Best use case

service-mesh-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

$curl -o ~/.claude/skills/service-mesh-expert/SKILL.md --create-dirs "https://raw.githubusercontent.com/netbarros/psique/main/.codex/skills/service-mesh-expert/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/service-mesh-expert/SKILL.md inside 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?

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

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