What problem does it solve? Running a complete research project requires manually chaining literature review, idea validation, experiment implementation, GPU deployment, iterative review, and paper writing, which is slow and error-prone. This Skill automates the entire lifecycle as a single resumable pipeline with cross-model quality gates. ## Core Features & Use Cases - Full Pipeline Orchestration: Chains idea discovery, experiment bridge, auto-review loop, and optional paper writing into one command with human or automatic gates. - Resumable Runs: Tracks per-stage state in run files so interrupted runs resume via a run ID instead of restarting, with acceptance gates separating finished work from verified work. - Overnight Stall Detection: A heartbeat mechanism counts new findings per stage and forces structural pivots or human escalation when progress stalls, without ever judging quality itself. - Use Case: A researcher provides a broad direction in the evening, lets the pipeline discover and pilot ideas, run GPU experiments, iterate through adversarial review rounds, and wakes up to a narrative report or a compiled paper PDF. ## Quick Start Run the research pipeline on the topic of efficient attention mechanisms with automatic idea selection and ICLR as the target venue.
