What it does
A finished set of up to ten 4:5 Instagram carousel slides for a client's story, from intake to copy to art direction to generated images, inside a chat runtime that has its own image tool.
Who uses it
What you need
Tools and access: ChatGPT native image generation · Python 3 · Pillow
You bring:
- the client profile with face references
- a story bank or an interview
- the client's palette and fonts, if they exist
- approval on the copy and the visual direction
How it works7
The steps, in order. The method itself is served whole through the connector, current on every use.
- 1
Load the client profile
- 2
Choose and gate the story
- 3
Write or ingest the copy
- 4
Get copy and visual approval
- 5
Plan and generate each slide
- 6
Run readability and likeness QA
- 7
Deliver the slides and the caption
What it doesn't do
- Runtimes without a native image tool; use the universal edition
- Editing a failed render instead of regenerating it
When your AI reaches for it
End-to-end storytelling Instagram carousel factory: turns a client's story (story bank, interview, voice memo, or existing content) into slide-by-slide short copy, then designs every slide — native ChatGPT image generation with the client's face reference, with measured safe-zone and typography planning, plus optional exact-font compositing in the client's palette. Two entry points: full pipeline (story to copy to design) or design-only (copy from a copywriter straight to finished slides). Use this skill whenever the user mentions Instagram carousels, IG carousel, carousel post, storytelling post, personal branding slides, "design the carousel", "write carousel copy", swipe post, or wants slides for a client's story — even if they only ask for one stage (copy only, or design only).