Agent skill

Configuring Service Meshes

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Configure this skill configures service meshes like istio and linkerd for microservices.

MITAuto-check passedBackend & APIs

Install Configuring Service Meshes

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-service-meshes -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-service-meshes --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/configuring-service-meshes .claude/skills/configuring-service-meshes && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
configuring-service-meshes
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
444 words
Files
12 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Configure this skill configures service meshes like istio and linkerd for microservices.

  • Works in 9 steps: Select the service mesh based on… → Install the control plane: istioctl… → Enable sidecar injection for target… → …
  • The user asks to configure service ..
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Shell and Python scripts from its folder; calls kubectl

What it does

Configuring Service Meshes is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure this skill configures service meshes like istio and linkerd for microservices. it generates production-ready configurations, implements best practices, and ensures a security-first approach. use this skill when the user asks to "configure service ... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/error_handling_strategies.md` and `assets/example_microservices_architecture.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Microservices. It works with Kubernetes. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The user asks to configure service ..
  • Appropriate context detected
  • With relevant phrases based on skill purpose

Example prompts

  • “/configuring-service-meshes”

Requirements

  • Python 3
  • A Bash shell
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Select the service mesh based on requirements: Istio for full-featured L7 control, Linkerd for lightweight simplicity, Consul Connect for…
  2. Install the control plane: istioctl install --set profile=production or linkerd install | kubectl apply -f -
  3. Enable sidecar injection for target namespaces: label namespaces with istio-injection=enabled or linkerd.io/inject=enabled
  4. Configure mTLS: set PeerAuthentication to STRICT mode for zero-trust inter-service communication
  5. Define traffic management rules: VirtualService for routing, DestinationRule for load balancing and circuit breaking
  6. Set up traffic splitting for canary deployments: route a percentage of traffic to the new version
  7. Configure retry policies and timeouts to improve resilience against transient failures
  8. Integrate observability: connect to Jaeger/Zipkin for distributed tracing, Prometheus for metrics, and Kiali for visualization
  9. Validate the mesh: verify sidecar injection, mTLS status, and traffic routing with istioctl analyze or linkerd check

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (Shell and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • kubectl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • istio.io
    • linkerd.io
    • developer.hashicorp.com
    • kiali.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Configuring Service Meshes loads about 1.1k tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 444 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 444 words, ~1,115 tokens.

Download SKILL.mdSave it as .claude/skills/configuring-service-meshes/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
configuring-service-meshes
description
Configure this skill configures service meshes like istio and linkerd for microservices. it generates production-ready configurations, implements best practices, and ensures a security-first approach. use this skill when the user asks to "configure service ... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
compatibility
Designed for Claude Code
version
1.24.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
devops, security, microservices

Configuring Service Meshes

Overview

Configure service meshes (Istio, Linkerd, Consul Connect) for Kubernetes microservices architectures. Generate mTLS configurations, traffic management rules (routing, splitting, mirroring), observability integrations (distributed tracing, metrics), and resilience patterns (retries, circuit breakers, timeouts).

Prerequisites

  • Kubernetes cluster accessible via kubectl with admin permissions
  • Service mesh CLI installed: istioctl, linkerd, or consul
  • Helm 3+ for service mesh installation charts
  • Understanding of microservice communication patterns and dependencies
  • Observability backend available (Jaeger, Zipkin, or Prometheus/Grafana) for tracing and metrics

Instructions

  1. Select the service mesh based on requirements: Istio for full-featured L7 control, Linkerd for lightweight simplicity, Consul Connect for multi-platform
  2. Install the control plane: istioctl install --set profile=production or linkerd install | kubectl apply -f -
  3. Enable sidecar injection for target namespaces: label namespaces with istio-injection=enabled or linkerd.io/inject=enabled
  4. Configure mTLS: set PeerAuthentication to STRICT mode for zero-trust inter-service communication
  5. Define traffic management rules: VirtualService for routing, DestinationRule for load balancing and circuit breaking
  6. Set up traffic splitting for canary deployments: route a percentage of traffic to the new version
  7. Configure retry policies and timeouts to improve resilience against transient failures
  8. Integrate observability: connect to Jaeger/Zipkin for distributed tracing, Prometheus for metrics, and Kiali for visualization
  9. Validate the mesh: verify sidecar injection, mTLS status, and traffic routing with istioctl analyze or linkerd check

Output

  • Service mesh installation manifests or Helm values
  • PeerAuthentication and AuthorizationPolicy manifests for mTLS and RBAC
  • VirtualService and DestinationRule manifests for traffic management
  • ServiceEntry manifests for external service access
  • Observability integration configuration (Jaeger, Prometheus, Kiali)
Show full SKILL.md (191 more words)Show less

Error Handling

ErrorCauseSolution
sidecar not injectedNamespace not labeled for injection or pod has annotation to skipAdd istio-injection=enabled label to namespace; check pod annotations
mTLS handshake failedMismatched TLS settings between services or missing certificatesSet PeerAuthentication to PERMISSIVE temporarily; check istioctl proxy-status
503 Service UnavailableCircuit breaker tripped or upstream connection pool exhaustedReview DestinationRule connection pool settings; increase maxConnections and http2MaxRequests
traffic not splitting correctlyVirtualService weight percentages misconfiguredVerify weights sum to 100; check VirtualService is bound to the correct gateway/host
high latency after mesh installSidecar proxy adding overhead or misconfigured timeoutsTune proxy resources; review timeout settings; check if services are using HTTP/2

Examples

  • "Install Istio with strict mTLS on a production cluster and configure a VirtualService for canary routing: 90% to v1, 10% to v2."
  • "Set up Linkerd on a microservices cluster with automatic retries (3 attempts, 500ms timeout) and integrate with Prometheus for golden signal metrics."
  • "Configure an Istio AuthorizationPolicy that allows only the frontend service to call the API gateway, blocking all other inter-service traffic."

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (scripts, references, assets) in skills/.curated/configuring-service-meshes of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • assets/error_handling_strategies.md
  • assets/example_microservices_architecture.md
  • assets/istio_config_template.yaml
  • assets/linkerd_config_template.yaml
  • references/README.md
  • scripts/README.md
  • scripts/deploy_config.sh
  • scripts/generate_test_traffic.py
  • scripts/rollback_config.sh
  • scripts/validate_config.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Configuring Service Meshes next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Configuring Service Meshes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Configuring Service Meshes this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
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Ak Cloud Deployyaalalabs/agent-kernel192—~14kAutomated safety check: PassApache-2.0
K8s Istio Bypasswgpsec/AboutSecurity1.8k—~727Automated safety check: PassNone
K8e Sandboxxiaods/k8e500—~6kAutomated safety check: PassApache-2.0
Mirrord Upmetalbear-co/mirrord5.4k1 repos~4.3kAutomated safety check: PassMIT

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Works with

Questions about Configuring Service Meshes

What does Configuring Service Meshes do?

Configure this skill configures service meshes like istio and linkerd for microservices. Configuring Service Meshes is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure this skill configures service meshes like istio and linkerd for microservices.

When should I use Configuring Service Meshes?

Configuring Service Meshes fits situations like: the user asks to configure service .; appropriate context detected; with relevant phrases based on skill purpose.

How do I install Configuring Service Meshes in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-service-meshes -a claude-code`. Or copy the skill folder (skills/.curated/configuring-service-meshes in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/configuring-service-meshes in your project. Claude Code loads it when a task matches its description.

How do I install Configuring Service Meshes in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-service-meshes -a codex`. Or copy the skill folder (skills/.curated/configuring-service-meshes in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/configuring-service-meshes in your project. Codex loads it when a task matches its description.

Can I use Configuring Service Meshes in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-service-meshes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuring-service-meshes, .gemini/skills/configuring-service-meshes, .github/skills/configuring-service-meshes and .opencode/skills/configuring-service-meshes in your project.

What does Configuring Service Meshes need to run?

Going by SKILL.md and its folder, Configuring Service Meshes needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (kubectl). Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Configuring Service Meshes access the network?

SKILL.md names 4 domains. As links in the text: istio.io, linkerd.io, developer.hashicorp.com and kiali.io. This is read from the text; nothing was executed.

Is Configuring Service Meshes safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Configuring Service Meshes use?

Configuring Service Meshes is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Configuring Service Meshes use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17 tokens, read only when the agent opens those files.

What are the alternatives to Configuring Service Meshes?

Skills that share tags, products or a category with Configuring Service Meshes: Kratos Development (aide-family/moon, 253 stars), Ak Cloud Deploy (yaalalabs/agent-kernel, 192 stars), K8s Istio Bypass (wgpsec/AboutSecurity, 1.8k stars) and K8e Sandbox (xiaods/k8e, 500 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configuring Service Meshes?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.