Skill UI

This advanced skill systematically verifies the novelty of a proposed research method or technical idea against the global body of academic literature. It guides the user to extract core technical claims, performs multi-source searches across major academic databases (e.g., arXiv, Google Scholar, top conferences), and utilizes high-level LLM reasoning to generate a detailed, structured novelty assessment report. Ideal for researchers seeking to validate the unique contribution of their work.

This skill calculates model interpretability for algorithmic trading signals using PageRank. It constructs a feature-contribution graph from an LSTM or Transformer signal and executes a single-entry PageRank calculation. The result identifies the top-K features that most significantly drove the prediction, providing a "regulator-grade" audit trail essential for compliance with regulations like the EU AI Act.

This skill is a comprehensive strategic guide for authors targeting the ACM Conference on Recommender Systems (RecSys). It helps assess the fit of a manuscript, guides the re-framing of work from journal or arXiv styles into a specialized conference narrative, and outlines specific requirements for evidence, evaluation (including offline metrics, user context, and leakage-aware methods), and contribution framing necessary for top-tier CS venues.

A comprehensive strategic guide for authors targeting the ACM International Conference on Multimedia Retrieval (ICMR). This skill helps authors assess the fit of their multimedia retrieval, cross-modal search, or representation learning work for the venue. It provides specific advice on framing the contribution, defining necessary evidence (e.g., ranking metrics, baselines), and structuring the manuscript to meet ICMR's high standards.

A comprehensive guide for authors submitting data mining papers to the ACM SIGKDD Conference. It helps authors assess the manuscript's fit, reframe the contribution (e.g., from journal to conference style), and strengthens the evidence bar by focusing on novelty, scale, reproducibility, and clear real-world impact required by top-tier data science venues.

This guide assists authors targeting the ACM SIGMOD conference. It provides expert advice on positioning, framing, and structuring database systems papers. It emphasizes strong algorithmic or systems contributions, realistic workloads, and necessary evidence, while also advising on routing relative to similar venues like VLDB and ICDE.

This guide provides a rigorous framework for strengthening economic manuscripts submitted to top journals, such as AEJ: Micro. It details how to systematically test the robustness of main results through theoretical extensions (e.g., relaxing assumptions, perturbations) and applied/experimental methods (e.g., sensitivity analyses, placebo tests). Learn how to identify extensions that truly 'earn their place' and significantly enhance the overall academic contribution of your work.

This skill guides authors in assessing the suitability of their research concerning agricultural or forest ecosystems for journals focused on land–atmosphere interactions. It emphasizes that the core contribution must be a biophysical process—such as the exchange of energy, water, or carbon—rather than purely agronomic or ecological observations. Use it to re-frame your work to highlight micrometeorological processes and robust flux measurement methodologies.

A comprehensive guide for authors aiming to publish agronomy or farming systems research in journals focused on sustainability. It outlines the critical need for making sustainability contributions explicit, measurable, and evidence-based (environmental, economic, and social). Use this tool to reframe your methodology, scope, and findings to meet rigorous academic standards for sustainable development.

This guide provides rigorous methodological standards for authors submitting economic papers to the China Economic Quarterly (CEQ). It emphasizes aligning research with international top-field standards, requiring clean causal identification, structural modeling, and advanced econometric techniques (e.g., modern DID, IV, RDD). Use this to strengthen your paper's technical rigor and ensure its contribution is methodologically sound for top-tier Chinese journals.

This guide outlines the rigorous academic requirements for submissions to the China Sport Science journal. It covers both natural sciences (physiology, biomechanics, exercise medicine) and social sciences (sports sociology, policy, management). Submissions must address core sport science ontology problems with high methodological rigor, ensuring the contribution is central to the field, rather than merely applying other disciplines.

This guide details the complex requirements for writing the 'Related Work' section for CIKM submissions. It emphasizes the need for 'three-front coverage' (Retrieval, Mining, and Knowledge Management/Databases) and provides specific instructions on writing the 'boundary-work paragraph.' It also covers critical academic hygiene, such as avoiding venue misattribution, maintaining recency baselines, and accurately stating novel contributions.