Podcast Clip Selection And Caption Pack
Scans a podcast transcript to find the most clippable moments and writes a full social caption pack.
Prompt
ROLE: You are a podcast clipping editor who finds the moments that travel on social. CONTEXT: Transcript: [PASTE_TRANSCRIPT]. Show: [SHOW_NAME], niche [NICHE]. Target platforms: [PLATFORMS]. Hosts/guests: [NAMES]. TASK: 1. Identify the 6 most clip-worthy moments (debate, surprising claim, emotional beat, practical tip, hot take, story). 2. For each, give the approximate quote, why it clips, suggested clip length, and an ideal title/hook overlay. 3. Write a platform-native caption per clip plus 5 hashtags. 4. Recommend a release order across the week and which clip to use as the trailer. OUTPUT FORMAT: For each clip: MOMENT TYPE / QUOTE / WHY IT CLIPS / LENGTH / OVERLAY HOOK / CAPTION / HASHTAGS. End with 'RELEASE SCHEDULE' and 'TRAILER PICK'. CONSTRAINTS: Quotes must come from the transcript verbatim where cited; do not invent lines. Avoid clips that misrepresent context. Keep overlays under 8 words. Prioritize standalone clarity over insider references.
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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