English Vocabulary Booster
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Install @user_4b9b28be/english-vocab-booster into your AI assistant by following https://skillhub.cn/install/skillhub.md.
About this skill
From Lookup to Review
Many vocabulary tools stop after definition lookup, leaving the next step open: when to revisit newly learned words and how to record what has already been studied. This skill targets that gap by packaging word lookup, daily review planning, and local progress saving into a directly runnable script.
How It Works
The built-in CET4_WORDS structure is a small CET-4 word bank, with the provided example containing entries such as abandon, ability, absent, access, and account. Each entry keeps meaning and example fields. Lookup normalizes input by lowercasing and trimming whitespace, then returns the word, Chinese definition, and example sentence.
- Lookup: enter a word and retrieve the built-in definition and example.
- Review plan: split the current word list over a user-specified number of days, defaulting to 5 days, and show a few words to review each day.
- Progress saving: record the username, last learning time, and learned-word list in
progress.txt.
Boundaries and Caveats
This implementation is closer to a learning prototype than a complete dictionary. The word bank is hard-coded, so unknown words only produce a spelling-check message. The review plan simply slices the current word list by day rather than modeling true forgetting curves. Because progress is stored in a local file, it is best suited for demos, teaching scripts, or lightweight personal study tooling.
Use Cases
- While preparing for CET-4, enter a single English word to view its Chinese meaning and fixed example sentence without interrupting reading.
- When designing classroom exercises, use the built-in word list to generate short review prompts and break vocabulary tasks into daily assignments.
- After completing a word-learning check-in, save the username and learned words to a local progress file for later continuation.
- When demonstrating Python basics, show how dictionaries, functions, and JSON file output can build a lightweight vocabulary helper.
Best For
- CET-4 exam candidates who want quick definitions, example sentences, and short review plans for high-frequency words.
- English teachers who need a simple local tool for looking up words, assigning short review tasks, and tracking learned words.
- Students learning Python basics who want a runnable project using dictionaries, functions, and file output.
- Workplace learners outside English majors who want to turn sporadic vocabulary practice into saved daily tasks.
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