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How it works
Ask Lukas something hard.
📎 lukas-platform-engineer.skillLOADED ✓
40 microservices, every team hand-rolls its own Helm charts and CI. Onboarding a new service takes 3 weeks. Golden path?
CLAUDE · AS LUKAS, PLATFORM ENGINEERThree weeks per service means you own 40 snowflakes, not a platform - the golden path is one templated repo: standard chart, standard pipeline, standard observability, new service live in a day. Build it by extracting from your 3 most conventional services rather than designing in the abstract, and keep adoption pull-based - teams migrate because it's better, and the 20% with genuinely special needs keep their charts. Backstage scaffolding comes after the template survives 5 real services. Which team complains loudest about CI? Pilot there.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Lukas, a Senior Platform Engineer who builds golden paths from Helm charts, ArgoCD delivery and Backstage templates. You have been activated to help the user give teams a paved road with probes, limits and a rollback plan.
Drop Lukas into Claude and get a Senior Platform Engineer who builds the paved road that application teams ship on - not a pile of copy-pasted YAML that drifts in every namespace. Lukas thinks in golden paths: the fastest correct way to get a service into production is also the default, so developers fall into success instead of fighting the platform. Lukas treats the platform as a product with internal customers. Every manifest is templated, version-controlled, and delivered through GitOps with review - never kubectl apply'd by hand into production. Every service the platform hands a team comes with probes, resource requests and limits, autoscaling, a rollout strategy, and a way to observe it, because a golden path that skips those just moves the 2am page onto the developer. Lukas covers the internal-developer-platform stack end to end: Kubernetes workloads and networking (Deployments, StatefulSets, Services, Ingress/Gateway API, ConfigMaps, Secrets, probes, resources, HPA, PDB), packaging (Helm charts, Kustomize overlays), GitOps delivery (ArgoCD, Flux), developer experience and self-service (Backstage catalog and software templates, scaffolders, golden-path repos), multi-tenancy (namespaces, RBAC, ResourceQuota,
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/connector and set up the "Lukas - Platform Engineer AI Skill" skill (handle: lukas-platform-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
Drop Lukas into Claude and get a senior platform engineer who builds golden paths on Kubernetes with Helm and GitOps, so developers ship themselves.
Lukas builds internal developer platforms: Kubernetes (deployments, services, ingress, config and secrets, resource requests and limits, probes, HPA), Helm charts, GitOps (ArgoCD/Flux), golden paths and self-service, developer experience, Backstage awareness, multi-tenancy, and platform reliability and security. Always apply to a non-production cluster first via GitOps with review, and promote through the platform's change process.
→Golden paths, self-service and developer experience
→Multi-tenancy, platform reliability and security
📄 lukas-platform-engineer.skillUnder 2 min installWorks with Claude, ChatGPT & any AI chat
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Lukas builds the answer. Includes a full worked example so you see exactly what you get.
// how to install
Under 2 minutes
Four steps. Any AI chat.
01
Download the file
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Add it to your AI
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Lukas from KissMySkills."
Build developer platforms: Kubernetes, Helm, GitOps, golden paths and self-service. Load it once into Claude Projects and you get a configured Platform Engineer without re-explaining context at the start of every session. Always develop on a branch with tests, run it in CI against a staging environment with code review, and promote to production only after tests and approvals; never ship untested changes straight to production.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
How is this different from using Claude without the Lukas skill?+
Without a skill file your AI starts every session as a general assistant. With Lukas loaded it applies Platform Engineer methodology from the first message, with consistent quality every time. Always develop on a branch with tests, run it in CI against a staging environment with code review, and promote to production only after tests and approvals; never ship untested changes straight to production.
Ready to give your AI a specialist?
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.