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Guide · Agent skill

How to use the Istio Traffic Management agent skill

Updated · written with AI from the project's own documentation and checked against our catalogue data

The istio-traffic-management skill is a reference file that teaches an AI agent how to write Istio configuration for routing, load balancing, circuit breakers and canary releases in a Kubernetes cluster. It is aimed at platform and DevOps engineers running Istio, and at developers who want to learn what each Istio resource does. By the end of this guide you will know how to install the skill, ask for the traffic policy you need, and check the output before using it.

Istio Traffic Managementwshobson/agents · MIT

Quick start

  1. 1Confirm your prerequisites. Make sure you have a Kubernetes cluster with Istio installed and the istioctl CLI available for the debugging commands.
  2. 2Download and unzip the skill. Download the ZIP from this page and unzip it so that SKILL.md sits in a skill folder.
  3. 3Place the skill folder. Move the folder into ~/.claude/skills/ for personal use or into your project's .claude/skills/ folder. Alternatively, upload the ZIP under Settings → Capabilities → Skills in the Claude apps.
  4. 4Describe the traffic policy you need. Ask in plain language, naming the service and the behaviour, such as a 10% canary split or a circuit breaker on a named service.
  5. 5Review the generated YAML. Replace example names, namespaces and weights with your own, and check that each resource matches what you intended.
  6. 6Test before production. Apply the manifests to a test namespace, then run istioctl analyze and the proxy-config commands to confirm routing behaves as expected.

What does the istio-traffic-management skill make the agent do?

Istio is a tool that controls how requests flow between services in a Kubernetes cluster. This skill gives the agent a detailed reference for Istio traffic management, so it can write the configuration files for you instead of relying only on memory.

Once installed, the agent can write configuration that splits traffic between versions for canary or blue-green releases, sets timeouts and retries, adds circuit breakers, mirrors traffic for testing, and injects faults for chaos testing. It also suggests matching debugging commands. The agent writes configuration text; it does not apply it to a cluster by itself.

Install the skill from the ZIP

Download the ZIP for this skill from this page and unzip it. The skill is a single file named SKILL.md. Place the unzipped skill folder in one of these locations:

  • Personal skills folder: ~/.claude/skills/
  • Project skills folder: the .claude/skills/ folder inside your project
  • Claude apps: upload the ZIP under Settings → Capabilities → Skills

Trigger the skill with natural requests

You do not need a special command. Describe the traffic behaviour you want in plain language and mention Istio or your service mesh. The skill's description says it applies when you are implementing service mesh traffic policies, progressive delivery, or resilience patterns, so requests like these fit well:

  • Write an Istio VirtualService that sends 10% of traffic to the canary subset of my-service.
  • Add a circuit breaker to my-service that ejects pods after 5 consecutive 5xx errors.
  • Set a 10 second timeout and 3 retries on the ratings service in Istio.
  • Mirror all traffic from v1 of my-service to v2 for testing.
  • Why is my Istio route not matching? Show me the debugging commands to run.

Understand the core Istio resources

The skill is built around four resources. A VirtualService routes traffic to destinations based on the host. A DestinationRule defines policies after routing, such as subsets, connection limits and outlier detection. A Gateway configures ingress and egress at the cluster edge. A ServiceEntry adds external services to the mesh.

Traffic flows from the client through a Gateway, then a VirtualService for routing, then a DestinationRule for policies, and finally to the service's pods.

Client → Gateway → VirtualService → DestinationRule → Service (routing) (policies) (pods)

Review the templates the skill provides

The skill includes seven YAML templates: basic routing by header, canary deployment with a 90/10 weight split, circuit breaker, retry and timeout, traffic mirroring, fault injection, and an ingress gateway with a VirtualService. It also includes load balancing examples using ROUND_ROBIN, LEAST_CONN, RANDOM, PASSTHROUGH and consistent hashing for sticky sessions.

The templates use example names, namespaces and weights such as bookinfo, my-service and a 90/10 split. Replace these with your own values before use.

Check the output and debug with istioctl

The skill suggests the istioctl commands below for checking your configuration. Istioctl is the Istio command-line tool, and the debugging commands require it. Run istioctl analyze to check VirtualService configuration, and inspect routes and endpoints on a running workload.

  • Check configuration: istioctl analyze
  • View effective routes: istioctl proxy-config routes deploy/my-app -o json
  • Check endpoint discovery: istioctl proxy-config endpoints deploy/my-app
  • Debug traffic: istioctl proxy-config log deploy/my-app --level debug
istioctl analyze

Safety notes before you apply anything

The skill runs no scripts and uses no network access. Its risk is in the configuration it writes. Traffic mirroring and fault injection can affect real users if misapplied, for example if you mirror to production or inject delays into a live route.

The skill's own best practices say to start simple, set timeouts, avoid over-retrying because retries can cause cascading failures, avoid mirroring to production, and test with a small traffic percentage before a full rollout. Review every manifest, then apply it to a test namespace first.

  • Do not mirror traffic to production; mirror to test environments.
  • Do not over-retry; it can cause cascading failures.
  • Start canaries with a small traffic percentage.
  • Use Kiali and Jaeger for visibility, as the skill recommends.

What people use it for

  • Splitting 10% of traffic to a canary version of a service during a progressive rollout.
  • Adding timeouts and limited retries to a downstream service that sometimes responds slowly.
  • Ejecting unhealthy pods with outlier detection after repeated 5xx errors.
  • Mirroring live requests to a new version in a test environment to compare behaviour.
  • Injecting delays or aborts into a test route to see how a service handles failure.

Frequently asked questions

How do I install the istio-traffic-management agent skill?

Download the ZIP from this page and unzip it. Place the skill folder in ~/.claude/skills/ for personal use or in a project's .claude/skills/ folder, or upload the ZIP in the Claude apps under Settings → Capabilities → Skills.

What do I need to use this skill?

You need a Kubernetes cluster with Istio installed and the istioctl CLI for the debugging commands. The skill itself runs no scripts and uses no network access.

Is the istio-traffic-management skill free?

The skill is published under the MIT licence, as stated on this page. Check the licence file in the source repository for the full terms.

Does the skill apply the configuration to my cluster?

No. The agent writes configuration text only. You need to review the YAML and apply it yourself with your own tools.

Can I use this skill with a service mesh other than Istio?

No. The templates are specific to Istio and will not apply to other meshes or plain servers.

What is the difference between a VirtualService and a DestinationRule?

A VirtualService routes traffic to destinations based on the host. A DestinationRule defines policies that apply after routing, such as subsets, connection limits and outlier detection.

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Our verdict

Platform and DevOps engineers running Istio in production will get quick, well-structured YAML for routing and resilience policies, and developers can learn what each Istio resource does. People who do not use Kubernetes or Istio should choose a different tool. Do not paste the templates into production unchanged, because the example names and weights must be replaced and mirroring or fault injection can affect real users.

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