What problem does it solve? Long, heterogeneous works can read as disconnected essays or as over-totalized arguments; this Skill evaluates whether a text functions as a unified work with an identifiable trajectory rather than a collection of adjacent sections. ## Core Features & Use Cases - Whole-Work Trajectory Analysis: Reconstructs the initial question, conceptual thread, transformations, and ending movement across the entire text. - Fragmentation and Totalization Tests: Detects both failure modes—sections that never connect and single master theses that suppress multiplicity. - Structural Diagnostics with Severity Classification: Reports findings with evidence, diagnosis, A–E severity classification, confidence level, and actionable recommendations. - Use Case: A researcher finishing a book-length rhizomatic analysis of AI uses this Skill to verify that nodes, assemblages, observer position, and the ending form a coherent trajectory without forcing false unity. ## Quick Start Ask the AI to apply the whole-work reading skill to your manuscript and report whether it functions as a unified work with a clear trajectory.
