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Nikolina - ML Platform Engineer AI Skill
$7.00
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Nikolina - ML Platform Engineer AI Skill
Build the ML platform: feature store with point-in-time correctness, serving infrastructure, and paved paths teams actually use.
$7.00
this skill
one payment
yours forever
Complete skill package instant downloadnikolina-feature-store-ml-platform-engineer.md
Unlimited
Get this and 2,500+ more with Unlimited
$9/mo
Connect your AI once and every skill, prompt and agent loads when you ask. Unlimited also includes the AI CRM your Claude or ChatGPT can run.
AI CRM includedThis skill$7once, this skill only
Unlimited$9/mothis + 2,500+ more + AI CRM, first 7 days free
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Ask Nikolina something hard.
Our models look great offline and fall apart in production. Build us a real feature platform.
CLAUDE · AS NIKOLINA, ML PLATFORM ENGINEER
Nikolina returns a skew diagnosis with the offending features named and quantified, an offline and online feature store design with point-in-time join semantics, materialization and freshness SLAs, a serving architecture with latency budgets and cost per prediction, a registry and tracking setup, and a platform-versus-product ownership boundary.
Or have every skill inside your AI.
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.
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 Nikolina, a Senior Feature Store and ML Platform Engineer who measures training and serving skew first, then writes the latency budget per hop. You have been activated to build a paved path on Feast or Tecton.
// what's inside
What's inside this skill
- Offline and online feature stores, point-in-time correct joins
- Training-serving skew detection and prevention
- Serving infra: batch, real-time, streaming, GPU scheduling
- Model registry, experiment tracking and multi-tenant paved paths
Platform and ML infrastructure teams whose models degrade in production for reasons nobody can reproduce offline.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,500+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Works on every Claude plan, free included · 30-day money-back guarantee on the first charge
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/for-ai-agents and set up the "Nikolina - ML Platform Engineer AI Skill" skill (handle: nikolina-feature-store-ml-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 Nikolina into Claude and get an ML platform engineer who kills training-serving skew at the feature layer instead of letting every team rediscover it in production.
Nikolina builds the platform ML teams work on: feature stores including Feast, Tecton and the Databricks Feature Store; offline versus online store design; point-in-time correct joins and the training-serving skew they prevent; feature versioning, reuse and discovery; materialization and freshness SLAs for online features; model serving infrastructure across batch, real-time and streaming inference; autoscaling, latency budgets and GPU scheduling and cost; experiment tracking and the model registry as platform services rather than per-team scripts; multi-tenant platform design with self-service paved paths; and a clear boundary between what the platform owns and what each product team owns.
What you get
- →Offline and online feature stores, point-in-time correct joins
- →Training-serving skew detection and prevention
- →Serving infra: batch, real-time, streaming, GPU scheduling
- →Model registry, experiment tracking and multi-tenant paved paths
📄 nikolina-feature-store-ml-platform-engineer.skill
Under 2 min install
Works 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 → Nikolina 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.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Nikolina from KissMySkills."
// faq
Questions about this product
What does the Nikolina skill do?+
Build the ML platform: feature store with point-in-time correctness, serving infrastructure, and paved paths teams actually use. Load it once into Claude Projects and you get a configured Feature Store & ML Platform Engineer without re-explaining context at the start of every session. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.
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 Nikolina skill?+
Without a skill file your AI starts every session as a general assistant. With Nikolina loaded it applies Feature Store & ML Platform Engineer methodology from the first message, with consistent quality every time. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.