ThinkWithPrompt by SynotticThinkWithPrompt

Learn to solve problems the way a great thinker did

Breaks down how a historical figure approached problems, separates documented habits from legend, and turns them into exercises.

Thinking & DecisionsFew-ShotStandardProductivitySummarizeExplain & TeachFill-in Template

The prompt

Teach me how [PERSON - e.g. "Marie Curie", "Leonardo da Vinci", "Richard Feynman"] approached problems, so I can practice the same habits. Why this person: [what I admire - e.g. "how they broke hard problems down"] Where I want to apply it: [my work or field and a real problem I'm facing] Time I can spend practicing: [e.g. "15 minutes a day for 3 weeks"] Steps: 1. Summarize their known thinking methods and working habits, citing the kind of source each comes from (their notebooks, letters, biographies). Separate well-documented habits from popular legends or misattributed quotes, and say when you're unsure. 2. Turn each method into a plain principle I can use (e.g. "explain it simply to find gaps", "keep a question notebook"). 3. Apply 2-3 of these principles to my real problem, step by step, so I can see them work. 4. Note what doesn't transfer - context, resources, or traits that made their approach work for them but may not for me. Return: - A short profile of their thinking style. - A table: Method | Evidence it was theirs | Principle | How to practice it. - A practice plan that fits the practice time I gave, with daily exercises that build from simple to hard. - A one-page checklist I can use the next time I'm stuck. Don't invent quotes. If you paraphrase, say so.

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

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What to fill in

  • what I admire - e.g. "how they broke hard problems down"
  • my work or field and a real problem I'm facing
  • e.g. "15 minutes a day for 3 weeks"

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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