Skill UI

This skill guides researchers through the critical pre-writing process of evaluating a scientific finding's scope, mechanistic depth, and significance. It stress-tests whether the work constitutes a complete, hypothesis-driven story suitable for top-tier journals, helping authors determine if they need to strengthen the mechanism, collect more converging evidence, or adjust their target journal venue.

This guide details the stringent requirements for writing high-stakes scientific summaries, such as those required by top-tier journals. It teaches how to condense complex research into a single, unstructured, quantitative paragraph (≤ 150 words) that explicitly names the underlying mechanism, answers the 'how,' and conveys broad significance to a general life-science readership. Focuses on structure, clarity, and impact.

This guide provides a detailed framework for structuring top-tier scientific articles, specifically modeled after Cell Journal standards. It covers the proper flow from Summary to Discussion, emphasizing the use of descriptive subheadings in Results, adhering to STAR Methods instead of free-text methods, and maintaining strict length discipline. Ideal for researchers struggling with manuscript organization or reaching submission stage for high-impact journals.

This guide provides structured best practices for writing high-impact English abstracts for top-tier academic journals. It teaches users to condense complex research into a concise, five-part narrative (Problem, Design, Findings, Mechanism, Contribution), ensuring the abstract is field-readable, quantifiable, and adheres to strict word count limits (typically <= 100 words). Use this when finalizing manuscripts and needing to elevate the academic rigor and polish of the English writing.

This guide teaches advanced techniques for writing literature reviews in top-tier economics journals. The core principle is moving beyond simply listing past work; instead, you must precisely position your contribution by defining the delta (difference) relative to specific, foundational academic papers. Learn to articulate your unique value by highlighting improved identification strategies, clearer mechanisms, or novel parameters.

This tool acts as a workflow router for submitting manuscripts to the China Economic Quarterly (CEQ). It guides researchers through the entire academic publishing process, from initial topic positioning and literature review to advanced econometrics, figure creation, and handling reviewer reports (R&R). It ensures the manuscript meets the high standards of international dialogue and robust identification required by top-tier Chinese academic journals.

This guide details best practices for structuring and writing the "Related Work" section for top-tier Human-Computer Interaction (HCI) conferences like CHI. It emphasizes moving beyond mere literature inventory to actively positioning your contribution by identifying research gaps across various disciplinary lanes (e.g., Psychology, Design, HCI family). Following these guidelines is crucial for avoiding desk rejection due to insufficient contextualization.

A comprehensive guide for drafting and revising academic papers for the ACM CHI conference. It provides detailed instructions on structuring explicit contribution statements, calibrating claims, ethically handling participant quotes, and ensuring accessibility for mixed-expertise review juries. Essential for those submitting research in HCI and related fields.

This guide teaches writers how to move beyond a literature review to effectively position their argument within an ongoing academic 'conversation.' It outlines the structural map required: identifying the core intellectual debate, pinpointing the existing assumptions (standing view), defining the gap or contradiction (pressure point), and clearly stating the essay's unique contribution (move) and potential implications (payoff). Ideal for advanced academic writing, critical theory, and interdisciplinary research.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

A comprehensive guide on structuring and writing the 'Related Work' and literature review sections for high-impact, comprehensive computer science journals. It emphasizes establishing the research gap (the 'delta'), structuring comparisons (Classification-Comparison-Gap), balancing literature coverage (classic vs. modern, local vs. global), and adhering to academic citation norms (e.g., GB/T 7714). Essential for authors needing to clearly define their novelty in a cross-disciplinary context.

A comprehensive guide for achieving experimental reproducibility and verifiability in academic writing, specifically targeting top-tier journals. It covers crucial aspects like fixing computing environments, managing random seeds, ensuring data provenance, preventing data leakage, and structuring scripts for external review, transforming research rigor into actionable steps.