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    Check Understanding — Скилл для ИИ-агентов | AI Рассвет

    Check Understanding

    Phase quiz for AI Engineering from Scratch. Trigger with "quiz me", "test phase", "check my understanding", "do I know phase 3", or /check understanding <phase .

    Скиллы для разработки#GitHub#rohitg00/ai-engineering-from-scratch#skills.sh
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    Установить скилл

    Установить скилл

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add rohitg00/ai-engineering-from-scratch --skill check-understanding
    Скачать ZIP
    Версия
    1.0.0+f6721a016731
    Автор
    Владимир Ломтев
    Репозиторий
    rohitg00/ai-engineering-from-scratch
    GitHub: rohitg00/ai-engineering-from-scratch

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add rohitg00/ai-engineering-from-scratch --skill check-understanding
    Скачать ZIP
    Версия
    1.0.0+f6721a016731
    Автор
    Владимир Ломтев
    Репозиторий
    rohitg00/ai-engineering-from-scratch
    GitHub: rohitg00/ai-engineering-from-scratch

    Как установить

    1. 1Скопируйте команду из блока установки.
    2. 2Запустите её в терминале из каталога проекта.

    Документация

    Check Understanding

    Test your knowledge of a completed phase from the AI Engineering from Scratch course.

    Activation

    This skill activates when the user says things like:

    • /check-understanding 3 or /check-understanding deep-learning
    • "quiz me on phase 2"
    • "test phase 1"
    • "check my understanding of transformers"
    • "do I know phase 3"
    • "am I ready for the next phase"

    Input

    Accepts a phase number (0-19) or a phase name as argument. If no argument is provided, ask the user which phase they want to be tested on by listing all 20 phases.

    Phase Map

    Map the argument to the correct phase directory under phases/:

    Input Directory Phase Name
    0, setup, tooling 00-setup-and-tooling Setup & Tooling
    1, math, math-foundations 01-math-foundations Math Foundations
    2, ml, ml-fundamentals 02-ml-fundamentals ML Fundamentals
    3, deep-learning, dl 03-deep-learning-core Deep Learning Core
    4, cv, computer-vision, vision 04-computer-vision Computer Vision
    5, nlp 05-nlp-foundations-to-advanced NLP -- Foundations to Advanced
    6, speech, audio 06-speech-and-audio Speech & Audio
    7, transformers 07-transformers-deep-dive Transformers Deep Dive
    8, generative, gen-ai, genai 08-generative-ai Generative AI
    9, rl, reinforcement-learning 09-reinforcement-learning Reinforcement Learning
    10, llms, llm, llms-from-scratch 10-llms-from-scratch LLMs from Scratch
    11, llm-engineering, llm-eng 11-llm-engineering LLM Engineering
    12, multimodal 12-multimodal-ai Multimodal AI
    13, tools, protocols, mcp 13-tools-and-protocols Tools & Protocols
    14, agents, agent-engineering 14-agent-engineering Agent Engineering
    15, autonomous 15-autonomous-systems Autonomous Systems
    16, multi-agent, swarms 16-multi-agent-and-swarms Multi-Agent & Swarms
    17, infrastructure, production, infra 17-infrastructure-and-production Infrastructure & Production
    18, ethics, safety, alignment 18-ethics-safety-alignment Ethics, Safety & Alignment
    19, capstone, projects 19-capstone-projects Capstone Projects

    Procedure

    Step 1: Resolve the Phase

    Parse the argument. If it is a number, validate it is between 0 and 19 inclusive. If the number is out of range, tell the user: "Phase [N] does not exist. Valid phases are 0-19." and show the full list for them to pick from. If it is a name or keyword, look it up in the Phase Map above. If the keyword does not match any entry in the map, tell the user: "Unknown phase '[keyword]'. Pick from the list below:" and present all 20 phases. If no argument is provided, ask the user to pick from the full list.

    Step 2: Read the Phase Content

    If the repo is cloned (a phases/ directory exists in or above the current directory), find all lesson directories under phases/<phase-dir>/ and read each lesson's docs/en.md. If it is not cloned, get the phase's lesson list from the Contents section of the README (fetch https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/README.md), then fetch each lesson's docs/en.md from the same raw base URL. These documents contain the teaching material you will generate questions from.

    Read as many lesson docs as needed to cover the full breadth of the phase. If a phase has many lessons (15+), prioritize reading a representative spread: first few, middle, and last few.

    Step 3: Generate 8 Questions

    Create exactly 8 multiple-choice questions drawn from the lesson content you just read:

    Questions 1-4: Conceptual (What/Why) These test understanding of ideas, definitions, and reasoning. Examples:

    • "What is the purpose of X?"
    • "Why does Y happen when Z?"
    • "Which statement best describes the relationship between A and B?"
    • "What problem does X solve?"

    Questions 5-8: Practical (How/Build) These test applied knowledge and implementation awareness. Examples:

    • "How would you implement X?"
    • "Which approach correctly solves Y?"
    • "What is the correct order of steps to build Z?"
    • "If you observe X during training, what should you do?"

    Each question must have exactly 4 answer options labeled A, B, C, and D. Exactly one option is correct. The wrong options should be plausible but clearly incorrect to someone who studied the material.

    Tag each question with the specific lesson it draws from (e.g., "Lesson 03: Matrix Transformations").

    Step 4: Present Questions One at a Time

    Use the AskUserQuestion tool (or equivalent interactive prompt) to present each question individually. Format:

    Question 1/8 (Conceptual) -- from Lesson 03: Matrix Transformations
    
    What is the geometric interpretation of an eigenvalue?
    
    A) The angle of rotation applied by the matrix
    B) The factor by which the eigenvector is scaled during transformation
    C) The determinant of the transformation matrix
    D) The rank of the matrix after transformation
    

    Wait for the user's answer before moving to the next question.

    Answer isolation

    Keep the correct option and explanation private until the learner answers the current question. Never use a real answer letter, a likely answer, or the generated answer distribution in a reply-format hint. When a plain-text hint is needed, use exactly: Reply with one letter: <A|B|C|D>.

    Step 5: Track and Score

    Keep a running tally:

    • Total correct out of 8
    • For each wrong answer, record: the question number, the user's answer, the correct answer, and which lesson it came from

    Step 6: Show Results

    After all 8 questions, display the score and grade:

    7-8 correct: Mastered If the phase is 19 (Capstone Projects): "You have mastered Phase 19, the final phase." Add "Congratulations, you have completed the entire curriculum." only when you can verify the rest of the curriculum is done (a LEARNING.md in the current directory whose Path table shows Phases 0-18 as Done or Skip); a single phase quiz does not prove full completion. Otherwise: "You have a strong grasp of Phase N. You are ready to move on to Phase N+1: [next phase name]."

    5-6 correct: Almost "Solid foundation. Review these specific areas before moving on:" Then list the lessons tied to the missed questions.

    3-4 correct: Developing "You are building understanding but need to revisit some lessons:" Then list each missed question with the lesson to re-read.

    0-2 correct: Start Over "This phase needs more time. Work through the lessons again from the beginning, focusing on:" Then list all missed topics.

    Step 7: Wrong Answer Breakdown

    For every question the user got wrong, show:

    Question N: [question text, abbreviated]
    Your answer: B
    Correct answer: C -- [the correct option text]
    Why: [1-2 sentence explanation of why C is correct]
    Review: Lesson NN -- [lesson name] (phases/<phase-dir>/NN-<lesson-slug>/docs/en.md)
    

    Step 8: What Next?

    End by offering three choices:

    1. Retake this quiz -- generate a fresh set of 8 questions from the same phase
    2. Try another phase -- pick a different phase to test
    3. Explain a topic -- ask about any concept from the questions you missed

    Wait for the user's choice and act accordingly.

    Rules

    • Avoid repeating questions on retakes until the question pool is exhausted. Once exhausted, reshuffle or rephrase questions for subsequent retakes.
    • Questions must be directly grounded in the lesson docs, not general knowledge.
    • Do not show the correct answer until after the user responds.
    • Do not include literal answer letters in examples of how the learner should reply; use <A|B|C|D> as the placeholder.
    • Keep question text concise. One or two sentences max.
    • Wrong options must be plausible. No joke answers.
    • If a phase has no lesson docs written yet (no en.md files found), tell the user: "Phase N does not have lesson content yet. Pick a completed phase to quiz on."

    Требования и возможности

    Источник пакета
    https://github.com/rohitg00/ai-engineering-from-scratch/tree/f6721a0167315118236ed2022ac11936831cce46/.claude/skills/check-understanding

    Файлы версии

    ПутьРазмерSHA256
    SKILL.md8205c6e2e985794e2819...

    Частые вопросы

    Как установить Check Understanding?
    Используйте команду npx skills add rohitg00/ai-engineering-from-scratch --skill check-understanding или скачайте ZIP-архив.
    Можно ли скачать Check Understanding бесплатно?
    Да, опубликованную версию можно скачать из маркетплейса бесплатно.

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