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This skill automates the creation of a tiered documentation system specifically designed for AI agents operating within complex codebases. By analyzing repository structures, tech stacks, and internal patterns, it generates a lightweight root AGENTS.md for universal rules and detailed sub-folder AGENTS.md files for localized context. This 'nearest-wins' hierarchy ensures that AI assistants receive precise, actionable guidance while minimizing token consumption, leading to more accurate code generation and better adherence to project-specific conventions without bloating the context window.