What problem does it solve? Writing consistent, pedagogically sound technical lessons across many AI domains is hard: terminology drifts, formulas lack concrete numbers, and prose replaces visuals. This Skill standardizes how Learning Lab lessons, blog posts, and deep-dives are authored in TorchViz-3D. ## Core Features & Use Cases - Pedagogical Frameworks: Enforces domain-specific lesson structures (architecture deep-dives, math foundations, MLOps workflows) with mandated intuition-to-formula progression. - Terminology & Typography Rules: Governs bold usage, English technical term retention, callout restrictions, and precise parameter-scale phrasing. - Math & Visual Standards: Requires dimension-annotated BlockMath formulas, concrete numerical substitutions, and visual anchors (Flowchart, ConceptHierarchy, MetricBars) replacing prose. - Use Case: When drafting a new MDX lesson on LoRA for the Deep Learning domain, apply this Skill to structure the narrative, format SVD formulas with tensor shapes, select the right visual components, and keep lessonMetadata synchronized with the table of contents. ## Quick Start Use the learning-lab-authoring skill to draft a new Learning Lab lesson on attention mechanisms following the universal authoring standards.
