What problem does it solve? Writing the theory and literature review chapter of an accounting case-study thesis requires enforcing dozens of hidden academic conventions—citation zoning, recency ratios, core-journal quotas, and paragraph-opening patterns—that students typically learn only through trial and rejection. This Skill automates that compliance-driven drafting process for Chapter 2. ## Core Features & Use Cases - Three-Part Theory Sections: Expands each selected theory into a fixed structure of connotation, accounting application, and case-specific anchoring paragraphs. - Problem-Oriented Literature Review: Organizes references by research angles with a synthesis matrix, mandatory independent literature commentary, and grafting/foreshadowing writing techniques. - Citation Quality Enforcement: Applies hard quotas including 75% publications from the last five years, 60% CSSCI/core journals, at least 18 English references, and WebSearch verification of every citation. - Use Case: A graduate student who completed case diagnosis and theory selection asks the AI to draft Chapter 2; the Skill loads prior phase state, writes the 7,500-8,000 character chapter, runs chapter_check.py, and reports citation statistics. ## Quick Start Continue the thesis compilation workflow by drafting Chapter 2 theoretical foundations and literature review based on the completed Phase 5 state.