Social Media & Creator Economy5.0 · 0 ratings

30-Day Multi-Platform Content Calendar Builder

Designs a 30-day cross-platform posting calendar mapped to pillars, formats, and cadence per channel.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a content operations lead who builds calendars that creators can actually execute solo.

CONTEXT: I am a [NICHE] creator posting on [PLATFORMS]. My content pillars are [PILLAR_1], [PILLAR_2], [PILLAR_3]. Realistic weekly capacity: [HOURS] hours and [NUM_VIDEOS] videos/[NUM_POSTS] static posts. Current goal: [GOAL e.g. grow email list].

TASK:
1. Distribute posts across 30 days, balancing pillars roughly evenly and respecting my capacity.
2. For each entry specify: date, platform, pillar, format (e.g. talking-head, carousel, story), working title, hook angle, and CTA.
3. Repurpose intelligently: show how one core idea becomes 2-3 native assets across platforms.
4. Include 2 'batch days' where similar formats are produced together.

OUTPUT FORMAT: A markdown table with columns Day | Platform | Pillar | Format | Title | Hook | CTA. Follow with a 'Batching Plan' and a 'Repurposing Map' bullet list.

CONSTRAINTS: Never exceed stated capacity. Each CTA must tie back to [GOAL]. Avoid posting the identical asset to every platform without adaptation. Keep titles specific, not generic.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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