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AI-native tutor and onboarding workflow for the four independent Claude certification tracks in AI Engineering from Scratch.
Passed 15 of 20 test cases with the skill, and 5 of 20 without it.
and 21 more in the full report
15 fixed2 passed either way2 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
We just finished checking my lab results for lesson 12. Please wrap up this session for today.
| Checked | Without skill | With skill |
|---|---|---|
| End session with defendable decision, lab status, quiz score, and next lesson resume path. | Missed | Passed |
The instructions your model reads when the skill loads.
Turn the repository into a step-by-step tutor. Make the learner explain, predict, run, build, and defend each decision. Do not reduce the course to a reading list.
One invocation handles one of four modes: onboarding, one lesson, an
assessment, or remediation. Resume from CLAUDE-CERTIFICATION.md when it
exists.
Prefer a local clone. Locate the nearest parent containing
certifications/claude/program.json. Otherwise read files from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
Read these files as needed:
certifications/claude/program.jsoncertifications/claude/tracks/<exam-code>.json<lesson-path>/docs/en.md<lesson-path>/code/main.py<lesson-path>/code/tests/test_*.py<lesson-path>/outputs/<lesson-path>/quiz.jsonassessments paths declared by the trackRead the selected track JSON at the start of every session. Its lessons
array is the route order. Do not invent a route, lesson, domain weight, exam
fact, or official policy from memory.
The website is an optional interactive view, not a dependency:
https://aiengineeringfromscratch.com/certifications.html
test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.