What problem does it solve? Writing a rigorous academic paper with AI assistance involves many disconnected steps — research, drafting, citation verification, peer review, and revision — and skipping any of them risks hallucinated citations, unverified claims, or quality regressions. This Skill coordinates the entire research-to-publication pipeline as a single state-managed workflow with mandatory integrity gates and user confirmation checkpoints. ## Core Features & Use Cases - 10-Stage Orchestration: Coordinates deep-research, academic-paper, and academic-paper-reviewer skills through research, writing, integrity verification, two-stage peer review, revision, and finalization stages. - Blocking Integrity Gates: Stages 2.5 and 4.5 run 100% reference verification plus a 7-mode AI research failure checklist (hallucinated results, methodology fabrication, shortcut reliance) that blocks the pipeline until resolved. - Adaptive Checkpoints & State Tracking: FULL/SLIM/MANDATORY checkpoint system with a progress dashboard, Material Passport state tracking, and cross-session resume via passport hashes. - Use Case: A researcher starts with only a topic idea, and the pipeline guides them through literature synthesis, drafting, simulated multi-reviewer peer review with a Devil's Advocate, revision cycles, and final formatted output (MD/DOCX/PDF) with a bilingual process record. ## Quick Start Tell the AI: I want to write a research paper on the impact of AI on higher education quality assurance, run the full academic pipeline.
