Skill UI

This comprehensive guide helps authors determine if their research fits the scope of Nature Synthesis. It emphasizes that the core contribution must be a novel synthetic method or strategy (rather than just an application). The guide details specific requirements across organic, inorganic, materials, and electrochemical synthesis, covering method rigor, evidence standards, and journal formatting rules.

This skill guides authors submitting work related to Operations Research (OR). It helps assess whether a manuscript provides a genuine theoretical or methodological advance in fields like optimization, stochastic processes, queueing theory, and mathematical modeling. It emphasizes the necessity of rigorous proofs, mathematical depth, and positioning the contribution against existing OR literature, rather than merely presenting a case study application.

A comprehensive guide and checklist for authors targeting Physical Review Applied (PRApplied). This skill helps evaluate whether a manuscript successfully bridges fundamental physics principles (e.g., quantum, photonics, energy) with concrete technological applications, providing heuristics on scope, evidence standards, and house style for submission.

A comprehensive methodological guide for researchers submitting data management papers. It helps users assess if their contribution is a fundamental system advance or merely an application. The guide provides detailed decision frameworks and comparisons between top-tier venues like SIGMOD, PVLDB, KDD, and PODS, ensuring the focus remains on the core data-management primitive.

This guide provides specialized instructions for authors writing sociological theories. It teaches how to articulate a clear conceptual contribution by defining a 'new way of seeing' and rigorously differentiating the proposed theory from existing academic works. It ensures the claim is a conceptual advance, not merely a restatement or application.

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.

A comprehensive guide detailing the complex submission and evaluation pipeline for TACAS (Tools and Algorithms for Scientific Applications). It models key features such as category-specific blind review, the mandatory parallel artifact evaluation for tool papers, and the single-round conference decision-making process, helping authors strategically prepare their submissions.

This comprehensive guide provides researchers with structured methodologies for designing and auditing Computer Vision (CV) experiments for major conferences like WACV. It details the critical differences between the Applications and Algorithms tracks, emphasizing the need to report performance under real deployment constraints (e.g., power, latency) and ensuring fair, rigorous comparisons with baselines. Ideal for revising submissions to meet high review standards.

A comprehensive audit guide for authors submitting to WACV. It covers critical submission decisions, including choosing between Round 1 or Round 2, selecting the appropriate Applications or Algorithms track, adhering to the 8-page limit, maintaining double-blind anonymity, and ensuring all coauthors have valid OpenReview profiles to prevent desk rejection.

This guide helps researchers determine the optimal venue for their Computer Vision paper, specifically addressing the unique identity of WACV (Applications-first) versus major conferences like CVPR, ICCV, and ECCV. It guides authors on whether their contribution is driven by real-world applications/constraints or by advancing core algorithms, and how to choose between the Applications or Algorithms track within WACV.

A comprehensive guide to structuring and writing academic papers for WACV, focusing on maximizing acceptance rates. It details the critical differences between writing for 'Applications' vs. 'Algorithms' tracks, ensuring the first page immediately captures reviewer attention. Key advice includes adhering to the strict 8-page budget, making figures self-contained, scoping all claims precisely, and moving excessive detail to supplements.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.