ThinkWithPrompt by SynotticThinkWithPrompt

Learn exam vocabulary with context sentences and collocations

Turns each word you are studying into a compact card with meaning, a revealing example sentence, collocations, and look-alike traps.

Learning & TeachingFew-ShotStandardEducationLanguageTranslateFill-in Template

The prompt

Help me learn vocabulary for an English exam. Exam: [e.g. "IELTS Academic", "TOEFL", "YDT", "SAT", "GRE"] My level: [e.g. "B1", "intermediate"] My first language: [LANGUAGE - used for translations and false-friend warnings] Words or phrases to learn: [LIST] For each word, use exactly this format: Word (part of speech) - pronunciation guide - Meaning: a short, plain-English definition for the sense most likely to appear on my exam. - In my language: [translation] - Example: one sentence where the meaning is obvious from context alone, written in the style of my exam's reading passages. - Collocations: 3 common word partners (e.g. "mitigate the risk"). - Word family: related forms (noun, verb, adjective, adverb). - Synonyms / antonyms: 2 each, noting any difference in strength or formality. - Watch out: look-alike words, false friends in my language, or a second meaning that could trick me. After the list: 1. A 10-question check: fill-in-the-blank and choose-the-right-word items using these words in new sentences, with an answer key at the end. 2. A short review schedule (day 1, 3, 7, 14) telling me which words to revisit. Keep the tone encouraging and brief. If a word has several meanings, focus on the one most common in exam reading and mention the others in one line.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • e.g. "IELTS Academic", "TOEFL", "YDT", "SAT", "GRE"
  • e.g. "B1", "intermediate"
  • LANGUAGE - used for translations and false-friend warnings
  • LIST
  • translation

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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