What problem does it solve? Turning an advisor-given title or rough research idea into a concrete, evidence-grounded paper plan is hard: claims get written before experiments exist, sections lack purpose, and missing materials surface too late. This Skill converts a topic, codebase, or experiment set into a decision-oriented research blueprint with explicit claim-evidence links. ## Core Features & Use Cases - Topic Intake to Research Blueprint: Decompose an advisor-provided title into research object, task, keywords, technical routes, risks, and advisor-confirmation questions, with a helper script that scaffolds docs/thesis/ console files. - Claim-Evidence Mapping: Build a table linking every major claim to required experiments, figures/tables, and citations, marking each as ready, weak, or missing. - Outline and Figure Planning: Produce section-level thesis or paper outlines where every section has a purpose, plus a figure/table plan tied to specific claims. - Use Case: A graduate student receives the thesis title "Deep Learning for Spectral Classification" and uses this Skill to generate a topic intake record, a chapter outline, an experiment-to-claim map, and a prioritized list of questions for their advisor. ## Quick Start Use the research-paper-plan skill to turn my advisor's thesis title into a research blueprint with an outline, claim-evidence map, and next-action list.