ai-carousel-content-engine

name	AI Carousel Content Engine
description	Turn articles, raw ideas, transcripts, or brand insights into 7-10 slide carousel packages with copy, visual direction, GPT Image 2 prompts, review checklists, and publish packs.
version	1.0
format	completion-engine
expert	AI Carousel Content Engine
domain	social carousels, GPT Image 2 prompts, content repurposing, brand style systems, marketing asset production
workflows	7

AI Carousel Content Engine

This skill creates Farrice's own version of the article-to-carousel workflow demonstrated in the Luke Carter video. It does not copy the hidden community prompt. It builds a reusable capability from observed workflow mechanics, existing Antigravity carousel frameworks, GPT Image 2 prompt direction, and human-in-the-loop creative review.

Core Promise

Turn a source idea into a visual marketing asset fast:

1. Start with an article, idea, transcript, or client insight.
2. Extract the strongest claims and sequence them into a 7-10 slide carousel.
3. Generate a style board and GPT Image 2 structured prompt.
4. Review for taste, text accuracy, brand fit, and strategic CTA.
5. Package for Instagram, LinkedIn, client delivery, or a weekly content pipeline.

Available Workflows

#	Workflow	Slash Command	Produces
1	AI Carousel Engine	/ai-carousel-engine	Full carousel package
2	Article To Carousel	/article-to-carousel	Article-derived slide script
3	Carousel Copy Forge	/carousel-copy-forge	Swipe-worthy slide copy
4	Carousel Design Prompt	/carousel-design-prompt	GPT Image 2 JSON prompt
5	Carousel Style Match	/carousel-style-match	Style board and reference direction
6	Carousel Review	/carousel-review	Human review checklist and repair notes
7	Carousel Publish Pack	/carousel-publish-pack	Caption, CTA, platform notes, client handoff

Local CLI

python3 execution/ai_carousel_engine.py --mode pack --source path/to/article.md --title "Topic"
python3 execution/ai_carousel_engine.py --mode copy --text "raw idea"
python3 execution/ai_carousel_engine.py --mode prompt --source path/to/carousel.md --style "brand/style direction"

Output Package

Each full run writes to deliverables/ai-carousel-engine/<slug>/:

• source.md
• carousel-script.md
• slide-brief.json
• gpt-image-2-prompt.json
• style-board.md
• review-checklist.md
• publish-pack.md

Stack With

Workflow	Role
/gpt-image-2	Convert or refine the structured carousel design prompt
/mood-board	Build visual references before prompt generation
/design-md-synthesize	Create a durable brand/design system before recurring carousels
/creative-review	Taste-check generated outputs
/video-context-ledger	Extract source material from videos before carousel creation
/extract-forge	Build a deeper skill if a carousel system should become a broader content engine

Quick Reference

• Genius context: genius.md
• Source map: references/source-map.md
• Quality rubric: references/quality-rubric.md
• Luke Carter extraction notes: references/luke-carter-video-extraction-notes.md
• Prompt patterns: references/genius-patterns.md
• Hidden knowledge: references/hidden-knowledge.md