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Custom prompt shortcut / Video & Content

/seriesplanner — ChatGPT Prompt Guide

Explore the /seriesplanner custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /seriesplanner do?

Purpose: Practical case study: Plan a six-part beginner video series.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

Use /seriesplanner when the task is outline a six-episode beginner night-sky observation series; specify the evidence needed to accept the result.

Copy-ready task brief

/seriesplanner Objective: Outline a six-episode beginner night-sky observation series Inputs: Learner starting level, local sky conditions and episode duration Deliverable: Episode sequence with learning outcome, demonstration and end-of-episode task

Reusable prompt template

/seriesplanner Objective: Outline a six-episode beginner night-sky observation series Available materials: Learner starting level, local sky conditions and episode duration Required output: Episode sequence with learning outcome, demonstration and end-of-episode task Acceptance test: Confirm that later episodes only rely on skills introduced earlier Boundary: Avoid promising visible celestial events without location and date checks Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Learner starting level, local sky conditions and episode duration
  2. Run /seriesplanner with the copy-ready task brief above.
  3. Request the concrete output: Episode sequence with learning outcome, demonstration and end-of-episode task
  4. Check the result: Confirm that later episodes only rely on skills introduced earlier

Quality checks and limitations

Acceptance criteria: Confirm that later episodes only rely on skills introduced earlier Limitation: Avoid promising visible celestial events without location and date checks

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

/videoprompt/texttovideo/imagetovideo/cameramovement/texturedesign/code

Worked example and expected output

Input materials: Learner starting level, local sky conditions and episode duration

Requested result: Episode sequence with learning outcome, demonstration and end-of-episode task

Acceptance test: Confirm that later episodes only rely on skills introduced earlier

Practical case study: Plan a six-part beginner video series

Starting brief: Theme: photographing the night sky with a phone; 6 episodes of 4 minutes.

Expected deliverable: Outline episode titles, learning objectives, demonstrations and a dependency order from setup to editing.

Quality gate: Avoid promising professional astrophotography results from every phone.

/seriesplanner
Task: Plan a six-part beginner video series.
Input: Theme: photographing the night sky with a phone; 6 episodes of 4 minutes.
Deliverable: Outline episode titles, learning objectives, demonstrations and a dependency order from setup to editing.
Review: Avoid promising professional astrophotography results from every phone.

Worked workflow: Outline a six-episode beginner night-sky observation series

Practical scenario: Outline a six-episode beginner night-sky observation series

Inputs to provide: Learner starting level, local sky conditions and episode duration

Requested deliverable: Episode sequence with learning outcome, demonstration and end-of-episode task

How to verify the result: Confirm that later episodes only rely on skills introduced earlier

Important limitation: Avoid promising visible celestial events without location and date checks

Frequently asked questions

Is /seriesplanner an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.