Generate multi-style social carousel images with cover-first, dual-ref prompts.
npx skills add https://github.com/alecs5am/ralphy --skill carousel-alecs5am
Please help me install this Agent Skill. Skill: carousel Source: https://github.com/alecs5am/ralphy/tree/main/.agents/skills/carousel Command: npx skills add https://github.com/alecs5am/ralphy --skill carousel-alecs5am
Coordinating and producing consistent, multi-style social carousels with embedded text across slides can be error-prone and time-consuming; this skill codifies a cover-first, dual-ref workflow that preserves identity across styles and ensures legible baked text.
Guide the AI to generate a 5-slide Instagram carousel by setting a cover-first workflow, applying a consistent style across slides, and baking headlines and captions directly into the images.
High-intent search queries and answers about installing and using this skill.
To generate a multi-style social carousel, this skill uses a cover-first, dual-ref workflow that maintains mascot consistency across styles and bakes headlines directly into the images. It transforms your brief into a reproducible image-generation workflow.
Yes, you can bake text directly into images for Instagram carousels. The skill uses a JSON prompt schema with per-style blocks to generate text-baked images and per-slide UI elements across your deck.
The cover-first checkpoint workflow is a process where a per-style cover slide is generated and approved before filling the remaining slides. This ensures per-style cohesion and mascot consistency across the entire carousel deck.
This carousel generation skill supports both standard 5-slide decks and scalable N-slide sets. It applies per-style and scene-specific prompts to handle varying deck sizes across Instagram, LinkedIn, and TikTok formats.
To maintain mascot consistency across different carousel styles, the skill applies dual-ref identity constraints and cross-slide identity checks. This preserves your mascot's identity while generating per-style prompt variations.
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