What problem does it solve? Research quests often stall because the task framing, dataset split, metric contract, or baseline landscape is ambiguous. This Skill resolves that framing ambiguity through bounded literature scouting and evidence gathering so later stages can proceed efficiently. ## Core Features & Use Cases - Problem Framing: Reconstructs the current task, dataset, metric, and baseline status, then identifies only the unknowns that materially block later stages. - Literature & Repo Scouting: Searches arXiv, benchmark docs, and official repos with a layered search ladder, producing durable scouting reports and memory cards. - Evaluation Contract & Baseline Shortlist: Writes an explicit evaluation contract and a scored baseline shortlist with attach/import/reproduce/reject route recommendations. - Use Case: A researcher starts a new quest on video compression quality evaluation but is unsure which benchmark split and metric to trust. The scout checks quest memory, searches arXiv for the closest papers, locks the evaluation contract, and recommends a concrete baseline route. ## Quick Start Use the scout skill to frame this research quest, clarify the evaluation contract, and recommend a baseline before deeper work.
