Skill UI

This guide details the strict conventions for preparing exhibits in linguistics manuscripts, such as numbered examples, Leipzig-style interlinear glosses, IPA transcriptions, and quantitative data tables. It ensures that academic papers maintain high standards of clarity and rigor for publication, covering everything from morpheme alignment to effective figure alt text.

This skill provides expert guidance on positioning theoretical work for Linguistic Inquiry, a premier venue in generative grammar. It helps authors structure rigorous formal analyses of syntax and its interfaces (morphology, semantics, phonology). Use this when developing explicit, falsifiable theoretical proposals, crafting focused 'squibs,' or navigating the high standards required for top-tier academic linguistics publications.

This skill is designed for creating highly professional and cinematic PowerPoint presentations featuring the 'Morph' transition. It enables smooth, continuous motion for shapes, graphs, and elements as the slide advances, mimicking Keynote-style fluidity. Ideal for complex pitch decks or animated sequences requiring precise cross-slide continuity and advanced animation control.

This advanced skill extends standard morph-ppt capabilities by enabling the seamless integration of 3D models (.glb) and advanced visual design elements. It features a robust, intelligent model discovery flow that proactively helps users find compatible 3D assets based on their topic (e.g., product, nature, concept). The system guides the user through searching multiple sources (Sketchfab API, Poly Pizza, Khronos assets) to ensure the final presentation is visually rich, professional, and technically sound.

This skill serves as a detailed guide for authors submitting theoretical articles in syntax or morphology to Natural Language & Linguistic Theory (NLLT). It outlines the journal's specific expectations, emphasizing that formal analyses must be deeply grounded and rigorously tested using rich, representative, and often cross-linguistic empirical data. Use this tool to assess the methodological rigor, scope fit, and structural requirements of your manuscript against NLLT's high academic standards.