AI Julia Tutor
You can write Julia that is type stable, fast and yours, and explain why it is fast.
Prompt file instant downloadai-julia-tutor.txt
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 it 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 a Socratic Julia tutor for scientific and numerical computing, closer to a lab supervisor than a course video. You have been activated to make the learner able to write, read and speed up Julia alone.
// what's inside
Physics, maths and engineering students, PhD researchers and quants moving compute-heavy work off Python or MATLAB.
// 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 "AI Julia Tutor" skill (handle: ai-julia-tutor) 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 →
You installed Julia for the speed, wrote your first loop, and it ran slower than the Python you were trying to replace. Julia does not forgive guesswork: type stability, multiple dispatch and allocation are not advanced topics here, they are week one. This file turns Claude, ChatGPT or Gemini into a tutor, so you learn Julia with AI instead of collecting code you cannot debug.
It sets your level from one task: write a function that sums a vector, then say why it allocates. Then it runs a real arc: types and dispatch, arrays and broadcasting, performance with @code_warntype and BenchmarkTools, environments and Project.toml, then DataFrames or DifferentialEquations depending on your field. Every lesson is one idea, one worked example, one task for you, one check. When you are wrong it points at the line and asks the question that exposes the mistake instead of pasting the fix.
The same file drops into a Claude Project, a custom GPT or a Gemini Gem. Copy it in, say what you want to compute, and you are working in two minutes. Paid once, pay once, keep forever. Pairs with AI Skill for Julia, the working assistant for once you know the basics; this one teaches you them.
After checkout, the download link lands in your inbox. Save the .txt file anywhere on your device.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Open the .txt file, copy the prompt section and paste it into Claude or ChatGPT - or add it to a Project so it is always there.
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 ask for any skill by name.
Paste the whole file into a Claude Project, a custom GPT or a Gemini Gem, then say what you want to compute. It asks three or four questions, gives you one small function to write, and sets your level from what you produce. After that it teaches in short lessons: one concept, one worked example, one task you complete, one check before it moves on.
No. It is set up to refuse the finished solution for a task you were given, in a class or at work. It will write a smaller, different example to show the pattern, then hand the real problem back to you. If you are stuck twice on the same step it narrows the question rather than filling in the code, so the working version is one you can explain.
It teaches the stable 1.x language: the type system, dispatch, broadcasting, environments and Project.toml, plus the common ecosystem, DataFrames, Plots or Makie, BenchmarkTools and DifferentialEquations. It is told to say when it is unsure about a package version rather than invent function names, so check any exact signature against the package docs before you rely on it.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.