What problem does it solve? Writing a rigorous academic paper involves many disconnected steps — literature research, drafting, citation verification, peer review, revision, and formatting — and errors like hallucinated citations or unverified claims can slip through when these steps are done ad hoc. This Skill coordinates the entire pipeline as a single auditable workflow with mandatory checkpoints and integrity gates. ## Core Features & Use Cases - Ten-stage orchestration: Coordinates research, writing, integrity verification, two-stage peer review, revision, final integrity check, formatting, and process documentation by dispatching the deep-research, academic-paper, and academic-paper-reviewer skills. - Mandatory integrity gates: Runs coverage-bounded citation, claim, and data verification plus a 7-mode AI research failure checklist at Stage 2.5 and Stage 4.5, blocking advancement until PASS or a recorded user decision. - Adaptive checkpoints and state tracking: Requires user confirmation after every stage, maintains a Material Passport for cross-session resume, and produces an auditable process record PDF. - Use Case: A researcher starting from a topic idea says they want a full paper workflow; the pipeline runs research, drafting, verification, five-reviewer peer review, revision, and finalization, pausing at each checkpoint for confirmation. ## Quick Start Ask the assistant to run the full academic pipeline on your research topic, for example by saying you want to write a research paper on the impact of AI on higher education quality assurance.
