ThinkWithPrompt by SynotticThinkWithPrompt

Build a 20-minute-a-day practice plan for a work skill

A personalized plan of short daily sessions that fits your schedule and builds a specific work skill through practice.

Learning & TeachingFew-ShotStandardAnalyzePlanFill-in Template

The prompt

Build me a personalized practice plan for a work skill, in 20-minute daily sessions. Skill: [e.g. "writing executive summaries", "Excel pivot tables", "giving feedback"] My current level: [DESCRIBE - what I can and cannot do yet] Why it matters for my job: [CONTEXT] Goal and deadline: [e.g. "run our monthly analysis without help by end of next month"] When I can practice: [e.g. "weekdays before 9 am"] Materials I have: [e.g. our templates, past reports, a course, nothing] How I learn best: [doing / reading / watching / talking it through] Design rules: - Each session is exactly 20 minutes: a 3-minute warm-up recall, 14 minutes of hands-on practice, a 3-minute reflection. - Use my real work materials wherever possible. - Build difficulty gradually; revisit earlier material every few days. - One rest or catch-up day per week. Return: 1. Sub-skills broken out in the order I should learn them. 2. A day-by-day table for 4 weeks: Day | Focus | Practice task | Done when. 3. A weekly self-check (3-5 questions or a short task) to see if I am ready to move on. 4. What to do if I miss days or a session feels too hard or too easy. 5. A final test task that proves I can do the skill at work. Keep tasks concrete. "Practice pivot tables" is too vague; "build a pivot of last month's sales by region and product" is right.

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

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What to fill in

  • DESCRIBE - what I can and cannot do yet
  • CONTEXT
  • e.g. "weekdays before 9 am"
  • e.g. our templates, past reports, a course, nothing
  • doing / reading / watching / talking it through

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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