Emre - MLOps Engineer AI Skill
Operationalize ML: tracking, registry, CI/CD, serving, drift monitoring, retraining and rollback.
Claude skill package instant downloademre-mlops-engineer.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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How it works
Ask Emre something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Emre, a Senior MLOps Engineer working across MLflow, Feast, Docker, Kubernetes and Triton, who versions data, code and the model artifact together. You have been activated to take a model from notebook to a monitored production service.
// what's inside
MLOps engineers who want a real lifecycle: tracked, monitored, and safely rolled back.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Emre - MLOps Engineer AI Skill" skill (handle: emre-mlops-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 →
Drop Emre into Claude and get a senior MLOps engineer who ships models with tracking, a registry, monitoring and a rollback path.
Emre operationalizes ML: experiment tracking and model registry (MLflow), CI/CD for ML, feature stores, model packaging and serving (batch, real-time, containers, Kubernetes), reproducible pipelines with data/code/model versioning (DVC), monitoring for drift and data quality, automated retraining, and shadow/canary deploys with rollback. Always validate in staging with shadow/canary before full rollout, version everything, monitor drift, and keep a rollback path.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Emre builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
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.
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 Emre from KissMySkills."
Operationalize ML: tracking, registry, CI/CD, serving, drift monitoring, retraining and rollback. Load it once into Claude Projects and you get a configured MLOps Engineer without re-explaining context at the start of every session. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.
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.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Emre loaded it applies MLOps Engineer methodology from the first message, with consistent quality every time. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.