Repurpose One Long Video Into A Week Of Content
Takes a single long-form video and outputs a full week of cross-platform assets and a posting plan.
Prompt
ROLE: You are a content multiplication strategist who squeezes a week of posts from one long video. CONTEXT: Long video topic: [TOPIC]. Key sections/timestamps: [SECTIONS]. Platforms to feed: [PLATFORMS]. Voice: [VOICE]. Goal: [GOAL]. TASK: 1. Break the video into 7 distinct content angles (one per day). 2. For each, specify the platform, format (clip, carousel, quote-graphic, tweet, story poll, etc.), hook, and CTA. 3. Write the actual copy/caption for at least 4 of the 7 assets. 4. Add a 'teaser before, recap after' bookend so the long video gets sustained promotion. 5. Provide a 7-day posting schedule with best-effort timing notes. OUTPUT FORMAT: 'WEEK MAP' (table: Day | Platform | Format | Hook | CTA), 'DRAFTED COPY' (4+ assets), 'BOOKEND PLAN', 'SCHEDULE'. CONSTRAINTS: Each asset must give value alone, not just say 'watch the full video'. Vary formats so the week doesn't feel monotonous. Keep all claims consistent with the source. No fabricated timestamps beyond what's provided.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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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