Generate MulmoScript presentations through structured research, narration, and visual design.
npx skills add https://github.com/receptron/mulmocast-cli --skill story-receptron
Please help me install this Agent Skill. Skill: story Source: https://github.com/receptron/mulmocast-cli/tree/main/.claude/skills/story Command: npx skills add https://github.com/receptron/mulmocast-cli --skill story-receptron
This Skill streamlines the creation of MulmoScript presentations by guiding users through a structured, multi-phase creative process, ensuring high-quality, multi-modal outputs.
Use the story skill to create a presentation about the future of AI in education.
High-intent search queries and answers about installing and using this skill.
AI video presentation creation involves a multi-phase process of research, storyboarding, narration writing, and visual design. This Skill generates a structured MulmoScript that you can render into video, podcast, or slideshow formats.
MulmoScript is a structured presentation format that uses specific DSLs for slide layouts, content blocks, and animations. It enables AI-native content creation to produce multi-modal outputs including video, podcast, slideshow, and PDF.
Yes, you can generate a podcast script and slideshow from the same content. The structured creative process outputs a MulmoScript that supports multi-modal rendering, allowing a single narrative to be exported across video, audio, and visual formats.
You do not need to write DSLs for slide layouts and animations manually. The AI guides the visual design phase and generates the required MulmoScript DSLs for content blocks and animations based on your narrative.
The best way to structure an AI-generated product launch video is through a structured creative process. Input your topic, let the AI research and outline the narrative, write the script, and design the visuals to produce a ready-to-render MulmoScript.
AI-native presentation generation requires strict adherence to specific DSLs for slide layouts, content blocks, and animations. Outputs are constrained by the MulmoScript format, meaning highly custom visual coding outside the DSL is not supported.
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