Skill UI

This comprehensive guide outlines best practices for designing data systems evaluations, ensuring results are robust, reproducible, and convincing to expert reviewers. It covers workload realism, baseline fairness, necessary ablation studies, and advanced metric visualization techniques (e.g., sweeping curves, failure analysis) required for top-tier data systems research.

This comprehensive guide provides methodological frameworks for designing rigorous empirical studies in strategic management. It covers defining the sample, selecting the unit of analysis, validating key measures (performance and strategic choices), and critically, implementing robust identification designs (e.g., DID, IV, Fixed Effects) to address endogeneity and establish causal claims.

This workflow router is designed for academic researchers targeting top-tier strategy journals. It does not write the paper but acts as a systematic guide, analyzing the current state of your manuscript—from vague ideas to final submission—and recommending the precise next specialized skill needed. It ensures that the paper is systematically improved across theory development, methodological rigor, data analysis, and contribution framing, guiding the author through the entire publication lifecycle.

A comprehensive guide designed for the late-stage polishing of academic manuscripts, specifically targeting submissions to top-tier journals. It focuses on enhancing clarity, improving argument flow, adhering to strict academic house conventions (such as dual abstracts and APA style), and refining prose. This skill ensures the research contribution is clearly articulated and immediately visible to the reader, optimizing the structure and polish of the final paper.

A comprehensive guide for designing rigorous Monte Carlo simulation studies, particularly for methods-heavy academic submissions (e.g., SMR). This guide covers specifying the Data Generating Process (DGP) space, selecting non-negotiable competitor methods, choosing appropriate performance metrics (e.g., power, bias, coverage), and critically reporting the limitations and failure regimes of the proposed method to ensure maximum credibility and reproducibility.

Provides expert guidelines for creating high-rigor methodological exhibits for the Sociological Methods & Research (SMR) journal. Focuses on constructing self-contained simulation grids, method-comparison tables, and diagnostic figures that clearly communicate methodological arguments, ensuring reviewers can audit claims directly without relying on surrounding prose.

This guide provides comprehensive best practices for designing and auditing cloud system evaluations, particularly for academic submissions. It mandates that claims must be supported by measured evidence from real or realistic deployments, moving beyond simple simulations. Key metrics emphasized include tail latency (p99), operational cost modeling, and verifiable behavior under scale and multi-tenancy.

A comprehensive pre-submission checklist designed for academics submitting manuscripts to scholarly journals. It covers crucial formatting rules, such as specific citation styles (Author-Date), bibliography standards (GB/T 7714), appropriate use of footnotes, abstract/keyword length limits, and guidelines for maintaining anonymity during the review process. Essential for ensuring submissions meet strict academic publishing requirements.

A comprehensive guide for constructing non-empirical, theoretical figures for sociological theory manuscripts. It details how to design conceptual exhibits—including mechanism diagrams, process models, typologies, and concept maps—that carry theoretical work. Crucially, it emphasizes that these figures must illustrate mechanisms or classifications, and must never include raw data, regression tables, or empirical results.

This comprehensive guide provides a final pre-submission checklist for authors submitting theoretical manuscripts to Sociological Theory (ST). It details critical requirements, including adherence to ASA style, ensuring double-anonymous masking, verifying conceptual contributions, and meeting specific journal formatting and ethical guidelines. Designed specifically for theory-only papers, it guides authors through the submission preparation process.

This guide outlines the critical process of transforming an accepted academic submission into a final, camera-ready version for major conferences. It covers working effectively with a designated shepherd, managing strict page limits (13-14 pages), safely de-anonymizing the work, incorporating reviewer feedback, and adhering to strict ACM publication mechanics. It ensures the paper meets all professional standards for publication.

A comprehensive guide for writing the evaluation section of a systems paper for top-tier conferences. It teaches authors how to map every technical claim to verifiable experiments, establish fair state-of-the-art baselines, utilize mixed workloads (microbenchmarks, E2E applications, and traces), and honestly report critical metrics like performance tails, variance, and overheads. The goal is to maximize credibility and withstand rigorous peer review.