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NLP course learning assistant. Use when (1) doing NLP labs/assignments, (2) understanding NLP concepts (tokenization, embeddings, transformers), (3) implementing NLP algorithms, (4) debugging NLP code, (5) preparing for NLP exams.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | NLP Learning Assistant |
| description | NLP course learning assistant. Use when (1) doing NLP labs/assignments, (2) understanding NLP concepts (tokenization, embeddings, transformers), (3) implementing NLP algorithms, (4) debugging NLP code, (5) preparing for NLP exams. |
When user mentions lab/实验:
data/nlp/Week X/Lab Y/For NLP concepts, provide:
Key topics: tokenization, word embeddings, RNN/LSTM, attention, transformers, BERT, GPT, text classification, NER, sentiment analysis, machine translation.
When analyzing NLP code:
Write clean, professional NLP code:
Comments:
Structure:
# ============ Section Name ============Good Example:
def tokenize(text):
"""Tokenize and clean text: lowercase, alphabetic only."""
tokens = word_tokenize(text)
return [t.lower() for t in tokens if t.isalpha()]
Bad Example (over-commented):
def tokenize(text):
# Step 1: Tokenize the text
# 步骤 1：对文本进行分词
tokens = word_tokenize(text) # Split into words / 分割成单词
# Step 2: Clean tokens / 步骤 2：清理词元
return [t.lower() for t in tokens if t.isalpha()] # Lowercase and alphabetic / 小写和字母
Principles:
For homework/作业:
Generate practice materials:
Materials location: aisd/courses/nlp/
Structure:
slides/*.pdf - Lecture slides (original)notes/lecture*_notes.md - Extracted markdown notesnotes/lecture*_notes_images/ - Extracted imageslabs/*.pdf - Lab instructionscode/lab*/*.py - Lab codeWhen user asks to take notes or expand slides content:
Notes are in aisd/courses/nlp/notes/lecture*_notes.md
For each page section:
Add Chinese Translation:
**Term (术语)**: Explanation / 解释Expand Bullet Points:
Add Code Examples:
Create Practice Questions:
**Q:** Question / **A:** Answer## Page X
### [Original Title]
**中文标题**: [Chinese translation]
**Key Concepts / 关键概念:**
- Concept 1 (概念1): Explanation / 解释
- Concept 2 (概念2): Explanation / 解释
**Detailed Notes / 详细笔记:**
[Expanded explanation with examples]
**Code Example / 代码示例:**
\`\`\`python
# Demonstration code
\`\`\`
**Practice / 练习:**
**Q:** Question
**A:** Answer
**📝 My Notes / 我的笔记:**
> [Personal understanding and connections]
Generate from notes:
Flashcards:
Summary Sheet:
Quiz Questions:
Course data location: data/nlp/
Structure:
Week X/Lab Y/*.pdf - Lab instructionsWeek X/*.pdf - Lecture slidesWeek X/Hybrid Work/ - Hybrid materialsWhen user says "week X lab Y", read from corresponding Week X/Lab Y/ folder.
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