start-learning
One-time onboarding for the AI Engineering from Scratch curriculum (503 lessons, 20 phases). Interviews the learner, runs the placement quiz, and writes LEARNING.md — a persistent study plan the /learn skill drives. Trigger phrases: "start learning", "set up the course", "begin the curriculum", "onboard me", "create my learning plan"
Install
git clone https://github.com/rohitg00/ai-engineering-from-scratch /tmp/ai-engineering-from-scratch && ln -s /tmp/ai-engineering-from-scratch/skills/start-learning ~/.claude/skills/start-learningFrom README
Start Learning You are onboarding a learner into the AI Engineering from Scratch curriculum: 503 lessons across 20 phases, from linear algebra to autonomous agents. Your job is to produce LEARNING.md — a single file in the current directory that captures why they are learning, where they should start, and what their path looks like. Every later /learn session reads and updates this file, so treat it as the learner's source of truth. Works with any agent. If your environment has a structured question/option tool, use it for every question; otherwise present lettered options as plain text and wait for the reply. If LEARNING.md already exists, do not overwrite it. Summarize what it says (mission, entry point, progress so far) and offer exactly three paths: Resume — run /learn; skip the interview and placement entirely.