Skill UI

This guide provides rigorous structural and stylistic guidelines for writing top-tier academic papers in computer architecture (specifically for HPCA). It emphasizes building arguments around a single, measurable mechanism-to-behavior claim, quantifying the motivation with measured costs, ensuring all proposed mechanisms are checkable, and making sure every performance number is anchored to a specific instrument or simulation environment. It details the essential 'first-page arc' structure.

This guide helps authors elevate their literature review or related work section from a simple list of papers to a structured, high-impact academic argument. It provides methodologies for building multi-dimensional classification frameworks, defining the technical 'delta' (unique contribution) in original research, and ensuring systematic coverage of both domestic and international literature for top-tier academic journals.

A comprehensive guide for building robust causal identification strategies in empirical research, particularly for analyzing policy shocks. It provides best practices and checklist items for advanced econometrics methods like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), and Double Machine Learning (DML), helping researchers avoid common methodological pitfalls in top-tier academic publications.

This skill provides comprehensive guidance on adhering to PMLA (Publications of the Modern Language Association) style, utilizing the most recent MLA Handbook. It covers the mechanics of academic writing, including creating in-text parenthetical citations, building a Works Cited list from core elements, and correctly formatting quotations, translations, and discursive notes. Essential for final style checks before academic submission.

A comprehensive guide for authors revising high-stakes academic papers, such as those for SOSP. It teaches how to shift focus from merely listing features to articulating core design principles, building a compelling 'Problem-to-Insight' arc, and structuring evidence-based arguments within strict length constraints. Essential for academic researchers and technical writers.