Skill UI

This tool helps researchers assess if their primary research on advanced energy materials (e.g., batteries, solar cells, fuel cells) is suitable for Advanced Energy Materials. It provides detailed guidance on scope, required evidence (benchmarking, mechanistic understanding), house style, and submission criteria necessary for high-impact energy science publications.

This guide helps researchers determine if their microeconomic theory, model, or experiment is suitable for American Economic Journal: Microeconomics (AEJ: Micro). It provides a structured framework for evaluating the contribution's scope, assessing broad microeconomic interest, and differentiating the appropriate venue from competing specialist journals like JET, Econometrica, or AEJ: Applied.

This skill acts as a central workflow router for manuscripts targeting the American Economic Journal: Economic Policy (AEJ: Policy). It diagnoses the current stage of a paper—whether it's topic selection, design, modeling, writing, or rebuttal—and recommends the next specialized skill. It ensures the research maintains a strong focus on credible causal evidence and actionable policy implications.

A comprehensive guide on positioning academic manuscripts within the broader field conversation, specifically for general education-research journals. It teaches researchers how to move beyond niche citation clusters to establish a field-wide gap, articulate the stakes, and connect the study to adjacent subfields, ensuring the contribution is broadly relevant.

Provides a comprehensive guide to the American Educational Research Journal (AERJ) manuscript review process. It details the stages, including fit framing, editorial screening, and double-anonymous peer review, helping authors understand how to structure their work to meet rigorous field-wide academic standards and maximize publication chances.

A comprehensive guide for developing professional, self-contained, and APA 7th edition compliant tables and figures for academic manuscripts. It provides critical principles for preparing exhibits for masked review, ensuring accessibility, proper statistical reporting (e.g., SEs, CIs, random effects), and adherence to journal standards.

A comprehensive guide for building and strengthening the conceptual or theoretical framework for academic manuscripts, particularly for submission to top-tier journals like AERJ. It teaches researchers how to ensure that theory drives the entire study—from question generation and design choices to data analysis and interpretation—transforming findings from mere reports into genuine theoretical contributions.

This comprehensive guide helps researchers position their academic paper for AISTATS, ensuring maximum novelty and eligibility. It provides detailed advice on comparative analysis, teaching authors how to contrast statistical methods against both modern ML literature (e.g., NeurIPS, ICML) and established statistical theory (e.g., JASA, Annals of Statistics). It covers proper citation of concurrent work, understanding archival status, and structuring the 'Related Work' section to highlight unique technical contributions.

This guide provides comprehensive rules for authors revising technical papers for top AI/Statistics conferences like AISTATS. It emphasizes achieving statistical rigor, explicitly stating assumptions, pairing every claim with proof or evidence, ensuring conciseness (e.g., adhering to an 8-page limit), and maintaining double-blind academic style. Perfect for PhD students or researchers preparing manuscripts for highly technical review.

This is the comprehensive orchestrator for submitting manuscripts to the American Journal of Political Science (AJPS). It guides users through the entire academic writing lifecycle, helping them determine the correct submission type (Article, Research Note, Correspondence) and ensuring critical steps, such as mandatory third-party code verification, are integrated from the start. It dispatches to specific sub-skills rather than drafting content.

This guide helps researchers transform raw empirical findings into portable, discipline-level theoretical contributions suitable for top-tier sociology journals like AJS. It structures the argument by defining core concepts, articulating causal mechanisms, setting scope conditions, and ensuring the theoretical move is generalizable beyond the initial case study.

The American Journal of Sociology (AJS) prizes theoretical ambition and general significance over subfield novelty. This guide provides a rigorous framework and a four-part test to help researchers pressure-test their ideas. It assesses whether a project engages with the broadest sociological debates, possesses a portable theoretical payoff, and is framed for the most appropriate academic venue (AJS vs. ASR).