Kubernetes Ingress logo

Kubernetes Ingress

Community
JayCheng113
kubernetes-ingress

Expose a service running inside a Kubernetes cluster to traffic from outside the cluster.

Overview

PublisherJayCheng113
Repositoryskill-retrieval-mcp
Skill namekubernetes-ingress
Stars
134
Forks
23
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by JayCheng113 on GitHub. Read the source before you install it.

Installation

Install the Kubernetes Ingress AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JayCheng113/skill-retrieval-mcp/tree/main/tests/e2e/corpus/infrastructure/kubernetes-ingress
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JayCheng113/skill-retrieval-mcp.git /tmp/skill-retrieval-mcp
mkdir -p .claude/skills
cp -r /tmp/skill-retrieval-mcp/tests/e2e/corpus/infrastructure/kubernetes-ingress .claude/skills/kubernetes-ingress
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kubernetes Ingress in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kubernetes Ingress on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kubernetes Ingress is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Getting external traffic into a cluster

A Service of type ClusterIP is only reachable from inside the cluster. Three ways out, in increasing order of control:

NodePort opens the same high port on every node. Cheap, but the port range is constrained and you still need something in front to load balance across nodes.

LoadBalancer asks the cloud provider for one address per service. Simple, and expensive once you have more than a handful of services.

Ingress puts one HTTP router in front of many services and routes by host and path. It needs an ingress controller actually running in the cluster — the Ingress object on its own does nothing, which is the most common reason a freshly applied manifest silently never receives traffic.

Terminate TLS at the ingress and keep the certificate in a Secret the controller can read; a certificate mounted into the workload pod instead will not be used.

Frequently asked questions

What does the Kubernetes Ingress AI skill do?

Expose a service running inside a Kubernetes cluster to traffic from outside the cluster.

Why use Kubernetes Ingress on TypingMind?

Because you install it once and use it with any model. Kubernetes Ingress is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kubernetes Ingress in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JayCheng113/skill-retrieval-mcp/tree/main/tests/e2e/corpus/infrastructure/kubernetes-ingress. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kubernetes Ingress?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kubernetes Ingress?

As many as you like. As long as a model supports skills, you can use Kubernetes Ingress with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kubernetes Ingress AI skill free?

Yes. It is published on GitHub by JayCheng113 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇