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Demonstrates the progressive disclosure pattern for building Claude Code Skills, focusing on high token efficiency and rapid context delivery. By loading a minimal 'SKILL.md' file for common queries and deferring deep technical details to on-demand documentation files, it allows users to achieve 70-90% token savings while maintaining high-quality responses. This skill serves as a blueprint for developers to structure their own specialized AI capabilities using best practices for information architecture, ensuring that Claude always has the right amount of context without unnecessary overhead.