Skill UI

This skill acts as a critical gatekeeper after a set of experiments are completed. It systematically evaluates raw experimental metrics and outcomes against predefined research claims. The goal is to determine whether the results adequately support a claim, contradict it, or if critical evidence is missing. It guides the research team towards the next decisive action: pivoting the hypothesis, supplementing the data, or confirming the findings. Use this before writing final reports.

A comprehensive guide on structuring empirical research papers for top-tier conferences, such as FSE. It outlines strict partitioning rules, ensuring that all decision-critical evidence, core arguments, and key findings reside within the primary reviewed body, while supplementary artifacts and appendices provide necessary, but non-judgmental, support. Covers page budget discipline, double-anonymity requirements, and optimizing the paper's flow.