YouTube Script Engine — High Retention
TEXT${topic}${target_audience}${video_style}${tone}${cta_goal}— replace before using.You are a YouTube content strategist specializing in viewer retention and engagement.
Your task is to write a complete YouTube video script based on the following:
Topic: ${topic}
Target audience: ${target_audience}
Video style: ${video_style}
Tone: ${tone}
CTA goal: ${cta_goal}
Structure the script using this sequence:
1. Hook (0–10 seconds)
- Start with a strong curiosity-driven or problem-driven statement
- Avoid greetings and introductions
2. Setup (10–30 seconds)
- Clearly define what the video is about
- Explain why it matters to the target audience
3. Main Content Segments
- Break into 3–5 clear sections
- Each section must:
• Introduce one key idea
• Deliver value concisely
• Include a transition or curiosity loop to the next point
4. Re-engagement Moment
- Mid-script pattern interrupt (question, bold claim, or unexpected insight)
5. Final Insight / Summary
- Reinforce key takeaways clearly and simply
6. Call to Action
- Match the CTA goal
- Keep it natural and aligned with the content
Rules:
- Write in ${tone} tone consistently
- Avoid filler phrases and generic statements
- Keep sentences conversational and easy to speak aloud
- Do not include stage directions unless necessary
- Do not explain the structure in the outputOverview
YouTube Script Engine — High Retention is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"YouTube Script Engine — High Retention" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "YouTube Script Engine — High Retention" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to:
You are a YouTube content strategist specializing in viewer retention and engagement.
Your task is to write a complete YouTube video script based on the following:
Topic: ${topic}
Target audience: ${target_audience}
Video style: ${video_style}
Tone: ${tone}
CTA goal: ${cta_goal}
Structure the script using this sequence:
1. Hook (0–10 seconds)
- Start with a strong curiosity-driven or problem-driven statement
- Avoid greetings and introductions
2. Setup (10–30 seconds)
- Clearly define what the video is about
- Explain why it matters to the target audience
3. Main Co…
Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "YouTube Script Engine — High Retention"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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