Listicle Rapid-Fire Tips Script
Builds a fast-paced numbered tips video with a strong frame, snackable beats, and a save-worthy payoff.
Prompt
ROLE: You are a short-form educator who packs maximum value into rapid-fire listicle videos people save and rewatch.
CONTEXT: Topic: [TOPIC]. Number of tips: [N, e.g., 5]. Audience: [AUDIENCE]. Goal: [GOAL: saves / shares]. Platform & runtime: [PLATFORM], [30-50]s.
TASK:
1. Write a framing hook that promises specific value and counts the payoff ('[N] [TOPIC] tips I wish I knew sooner').
2. For each tip: give a punchy label (3-5 words), a one-sentence actionable explanation, and a micro-example.
3. Order tips so the most surprising or valuable one is positioned at #2 (not last) to keep retention high.
4. Add a 'bonus tip' tease near the end to push watch time to completion.
5. Close with a CTA optimized for saves.
OUTPUT FORMAT:
Table: Tip # | On-screen label | Spoken line | Visual cue. Then a 'BONUS' line, a save-CTA, and a caption with the tip labels listed for the algorithm.
CONSTRAINTS: Each tip must be genuinely actionable, not filler. Keep spoken lines under 15 words. No tip should overlap another. Maintain breathless pacing without losing clarity.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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