# How to Find Your Starting Level in the AI Engineering from Scratch Curriculum > Discover your AI Engineering from Scratch starting level using the rohitg00/ai-engineering-from-scratch repository's placement quiz. Get personalized curriculum recommendations now. - Repository: [Rohit Ghumare/ai-engineering-from-scratch](https://github.com/rohitg00/ai-engineering-from-scratch) - Tags: getting-started - Published: 2026-06-07 --- **TLDR:** The `rohitg00/ai-engineering-from-scratch` repository includes a built-in placement quiz called `/find-your-level` that scores your AI/ML knowledge across ten questions and maps your result to the optimal curriculum phase. If you are unsure where to begin, the AI Engineering from Scratch curriculum provides an automated way to find your starting level. The project is structured across progressive phases, from foundational math to advanced agent engineering, and entering at the wrong point wastes review time. According to the source code, the `/find-your-level` agent skill evaluates your existing expertise and returns a personalized learning path using hour estimates from [`ROADMAP.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/ROADMAP.md). ## How the Placement Quiz Evaluates Your Knowledge The `/find-your-level` skill administers ten multiple-choice questions that cover five core knowledge areas: **Math & Statistics**, **Classical ML**, **Deep Learning**, **NLP & Transformers**, and **Applied AI**. Each correct answer earns one point, producing a total score out of ten. Your score directly determines your recommended entry phase: - **0–3 points** maps to Phase 1: Math Foundations - **8–9 points** maps to Phase 11: LLM Engineering - **10 points** maps to Phase 14: Agent Engineering After tallying your score, the skill generates a markdown table that labels each phase as **Skip**, **Review**, or **Do**, paired with the estimated hours defined in [`ROADMAP.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/ROADMAP.md). ## Where the Placement Skill Is Defined The quiz logic is defined as an agent skill rather than a standalone script. The primary definition lives in [`.claude/skills/find-your-level/SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/.claude/skills/find-your-level/SKILL.md), which stores the full question flow, scoring rules, and personalized table generation logic. The [`README.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/README.md) introduces the curriculum and highlights the `/find-your-level` command so new users know it exists. Additionally, the web interface in [`site/lesson.html`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/site/lesson.html) renders a call-out that instructs users to run `/find-your-level` inside supported agents. ## How to Run the /find-your-level Quiz You invoke the skill inside any compatible LLM agent, such as Claude, Cursor, Codex, OpenClaw, or Hermes. The skill is a markdown-defined flow that the agent interprets directly, so no local compilation is required. If you have cloned the repository locally, you can point a Claude-compatible interpreter at the skill file: ```bash # Clone the repo (optional if you just want to run the skill in an agent) git clone https://github.com/rohitg00/ai-engineering-from-scratch.git cd ai-engineering-from-scratch # In a supported LLM agent, run the placement quiz /find-your-level ``` During a typical interactive session, the agent presents questions one at a time, tallies your answers, and outputs the recommendation: ```text Agent: Welcome! Let’s find your level. Here’s the first question: Q1. You have two vectors a=[1,2,3] and b=[4,5,6]. What is their dot product? A) 21 B) 32 C) 15 D) 27 Your answer: B ... (questions 2-10) ... Your total score: 7/10 Recommended entry point: Phase 7 – Transformers Deep Dive ``` ## Key Files Behind the Placement Logic Several repository files cooperate to surface and execute the placement quiz: - [`.claude/skills/find-your-level/SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/.claude/skills/find-your-level/SKILL.md) — Contains the complete skill definition, including the ten-question quiz, scoring logic, and personalized learning-path generation. - [`README.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/README.md) — Introduces the curriculum and documents the `/find-your-level` command. - [`site/lesson.html`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/site/lesson.html) — Displays the “Run `/find-your-level`” call-out in the web UI for agent users. - [`ROADMAP.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/ROADMAP.md) — Supplies the hour estimates used when the skill builds your personalized phase table. ## Summary - The AI Engineering from Scratch curriculum provides a **`/find-your-level`** skill that functions as a built-in placement quiz. - Ten multiple-choice questions across five knowledge areas produce a score out of ten that maps to a recommended starting phase. - The skill definition resides in [`.claude/skills/find-your-level/SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/.claude/skills/find-your-level/SKILL.md) and is executed by compatible LLM agents. - Results are rendered as a markdown table marking each phase as **Skip**, **Review**, or **Do**, with time estimates pulled from [`ROADMAP.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/ROADMAP.md). ## Frequently Asked Questions ### What is the /find-your-level command in AI Engineering from Scratch? `/find-your-level` is an agent skill defined in [`.claude/skills/find-your-level/SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/.claude/skills/find-your-level/SKILL.md) that runs a ten-question placement quiz. It automatically scores your answers across five AI/ML domains and recommends the curriculum phase best suited to your current knowledge. ### Which repository file contains the placement quiz logic? The complete quiz flow, scoring rules, and personalized table generation are implemented in [`.claude/skills/find-your-level/SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/.claude/skills/find-your-level/SKILL.md). The [`README.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/README.md) and [`site/lesson.html`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/site/lesson.html) files only surface the command to users. ### Can I run the placement quiz without a Claude-compatible agent? The skill is engineered for LLM agents such as Claude, Cursor, Codex, OpenClaw, and Hermes. You can run it locally by feeding the [`SKILL.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/SKILL.md) file to a Claude-compatible interpreter, but the repository does not ship a standalone Python script. ### How does the quiz determine my starting phase? You earn one point per correct answer for a maximum score of ten. The skill translates point ranges into specific phases, for instance routing scores of 0–3 to Phase 1, 8–9 to Phase 11, and a perfect ten to Phase 14. It then references [`ROADMAP.md`](https://github.com/rohitg00/ai-engineering-from-scratch/blob/main/ROADMAP.md) to display a clear table indicating which phases to skip, review, or complete.