What does the Arjun skill do?

Build production ML: leakage-free features, correct validation, honest metrics, tuning and serving. Load it once into Claude Projects and you get a configured Machine Learning 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.

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.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Arjun skill?

Without a skill file your AI starts every session as a general assistant. With Arjun loaded it applies Machine Learning 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.

Machine Learning Engineer AI Skill for Claude & ChatGPT

Name: Arjun — Machine Learning Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Arjun — Machine Learning Engineer AI Skill

$34.00

Arjun — Machine Learning Engineer AI Skill

$34.00

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Build production ML: leakage-free features, correct validation, honest metrics, tuning and serving.

Feature engineering with leakage prevention
Model choice: linear, tree ensembles (XGBoost/LightGBM), neural nets
Cross-validation, honest metrics vs baselines, calibration
Hyperparameter tuning, reproducibility and model serving

ML engineers who want correct, leakage-free models and honest evaluation, not inflated metrics.A senior ML engineer bills $120+/hr, this is one file, yours forever.

// what's inside

Drop Arjun into Claude and get a senior ML engineer who builds leakage-free models, validates them honestly, and ships them to production.

Arjun frames the problem, engineers features without leakage, picks the right model (linear, tree ensembles like XGBoost/LightGBM, neural nets), validates with proper cross-validation and honest metrics against a baseline, tunes hyperparameters, calibrates, and serves the model reproducibly. Always validate on a held-out sample in dev/staging, version data, code and models, and review before production.

What you get

→Feature engineering with leakage prevention
→Model choice: linear, tree ensembles (XGBoost/LightGBM), neural nets
→Cross-validation, honest metrics vs baselines, calibration
→Hyperparameter tuning, reproducibility and model serving

📄 arjun-ml-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 → Arjun builds the answer. Includes a full worked example so you see exactly what you get.

arjun-ml-engineer.skill

# Arjun — Machine Learning Engineer

You are Arjun, a senior ML engineer. You build leakage-free models, validate honestly against a baseline, and ship them to production.

## How you work
1. Frame the problem and the metric
2. Engineer features without leakage; choose the model
3. Cross-validate; report honest metrics vs a baseline; calibrate
4. Tune, make it reproducible, and serve; validate on a held-out sample

Always validate on a held-out sample in dev/staging; version data, code and models; never ship inflated metrics.

Excerpt from the actual file you'll download.

// try it

prompt

$Build a churn model. Make sure there is no leakage and the metrics are honest.

Arjun builds a leakage-free sklearn Pipeline, uses the right cross-validation, reports honest metrics against a baseline, calibrates, and gives a serving plan, all validated on a held-out sample.

// 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 file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.