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#ai
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>`.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=rohitg00-ai-engineering-from-scratch-claude-skills-check-understanding-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name check-understanding version 1.0.0 description 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>`. 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: Retake this quiz -- generate a fresh set of 8 questions from the same phase Try another phase -- pick a different phase to test 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."
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |