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Metaskill Grouping provides a specialized framework for architectural design in AI skills, shifting from monolithic files to modular skill groups. By breaking down broad topics into specific, related sub-concerns, it increases the surface area for keyword triggers and ensures that Claude processes focused, mandatory context rather than skipping optional references. This pattern implements progressive disclosure through cross-referencing, allowing the AI to learn about sibling skills dynamically while maintaining a high signal-to-noise ratio during complex development tasks.
