Skill UI

This guide provides detailed instructions for elevating academic prose from standard "lab-report" style to the sophisticated narrative craft expected by top-tier journals. It covers structuring the argument, maintaining theoretical focus, refining voice (process vs. variance), and perfecting the narrative arc to ensure the work reads as a compelling intellectual story, not just a collection of findings. Use this when your theory and analysis are settled, but the writing feels flat or dense.

A comprehensive guide to structuring and defending research designs across various sociological methods, including quantitative, comparative-historical, ethnographic, and computational approaches. It emphasizes building a credible link between theoretical arguments and empirical evidence, critically addressing alternative hypotheses, and defining the scope of causal claims to meet the highest academic standards.

This guide outlines the rigorous standards for evaluating systems research, particularly for top-tier conferences like ATC. It provides detailed instructions on designing reproducible experiments, establishing fair baselines, utilizing realistic workloads, and reporting critical metrics such as tail latency, variance, and resource cost, ensuring the highest level of scientific rigor.

This guide details how to read, interpret, and synthesize artifacts from the central shared workspace, known as the 'bench.' It provides a structured approach to gathering findings, reports, and assessments left by various modules (desks). Use this skill to build comprehensive context, understand cross-desk dependencies, and summarize complex information for an operator.

This comprehensive guide details the rigorous multi-stage peer-review process used by top academic journals, exemplified by BJPS. It covers the standards for double-blind review, the critical initial desk-screening (assessing wide interest and scope), and what external referees evaluate across various academic traditions. Authors should use this resource before submission to pre-empt common failure modes and structure their manuscripts for maximum acceptance chances.

A comprehensive preflight checklist for authors submitting manuscripts to the British Journal of Political Science (BJPS). This guide ensures adherence to the journal's strict double-blind anonymization rules, Cambridge/Harvard author-date style, word count limits, and technical formatting requirements before final submission.

This skill guides the refinement of academic manuscripts for submission to the British Journal of Political Science (BJPS). It ensures the prose is accessible to a broad, international political science audience, enforces Cambridge's Harvard author-date citation style, and strictly adheres to specified word caps (e.g., $\le 150$-word abstracts). Use this skill when drafting introductions, tightening arguments, or formatting the final submission to maximize clarity and professional impact.

A comprehensive guide detailing the selection of appropriate statistical estimators (e.g., DiD, Panel FE, ANOVA) for various research designs. It also outlines rigorous best practices for ensuring data integrity, conducting robustness checks, and adhering to journal code-sharing policies, ensuring highly reproducible empirical research.

This guide provides comprehensive guidelines for selecting, validating, and defending rigorous research designs for Contemporary Accounting Research (CAR) manuscripts. It covers various approaches—including panel archival, controlled experiments, analytical models, field studies, and surveys—while stressing critical rigor checks like identification strategy, internal validity, and model discipline. It also mandates adherence to ethical review processes and data integrity policies.

This guide provides strict guidelines for compiling and formatting scholarly exhibits (tables, figures, and appendices) for top-tier accounting journals, such as CAR. It ensures compliance with academic style guides, requiring variable definitions, clustered standard errors, and self-contained presentation so that the results are immediately interpretable by reviewers. It is crucial for transforming raw analysis output into submission-ready academic materials.

This skill guides the polishing and structural refinement of academic accounting manuscripts, specifically for Contemporary Accounting Research (CAR) journal submissions. It ensures the abstract is concise (≤300 words) and comprehensive, enforces front-loading of the research question and findings, and mandates strict consistency checks between constructs, proxies, and variables. It also ensures adherence to specific academic formatting rules, such as footnotes and author-date referencing.

A comprehensive guide to establishing credible causal identification strategies for economic empirical research. It covers advanced quasi-experimental methods such as Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity (RDD), alongside structural modeling. The core principle emphasizes the necessity of explicitly stating, empirically defending, and testing all identification assumptions to meet the rigorous standards of top-tier academic economics journals.