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Adopt a framework for designing skills as modular building blocks to ensure predictable token usage and a maintainable, scalable architecture. This skill helps break down large, monolithic skills into focused, single-responsibility components that are easier to test, maintain, and optimize. By implementing progressive disclosure principles and providing tools for analysis, token estimation, and validation, it enables the creation of efficient, high-quality skills that grow without becoming unwieldy.
