Skill UI

A comprehensive tool for authors submitting work on electronic devices, circuits, or systems to Nature Electronics. It guides the evaluation of the manuscript's broad scientific significance, technical rigor, and adherence to Nature's high stylistic and scientific standards, ensuring the work is field-advancing rather than merely incremental.

A comprehensive self-check tool for authors targeting Nature Water. It guides the framing, scope, methodological rigor, and structural requirements necessary for submitting high-impact research in water science, hydrology, and environmental engineering. Focuses on connecting technical findings to broad societal challenges and ensuring FAIR data compliance.

This guide provides a comprehensive framework for authors responding to peer reviews in major security conferences. It details how to triage reviewers' comments, structure technical responses (pointing to evidence, not arguing), handle complex objections like adaptive attacks and ethics, and effectively participate in the interactive discussion phase to refine the paper.

This guide helps authors structure highly technical security papers, especially for venues with strict page limits like NDSS. It details how to allocate content across the main body, ethics considerations, and appendices, ensuring the core decision-making arguments remain self-contained and maximally persuasive to reviewers by passing the 'dependency test'.

A detailed guide for authors drafting responses, rebuttals, and discussions for major conferences like NeurIPS. It emphasizes adhering to strict double-blind constraints, focusing on technical evidence rather than arguing tone, and structuring responses to clarify misunderstandings and move reviewers toward an accurate decision.

This skill guides authors on how to strategically position their machine learning research against complex academic landscapes. It covers comparing work to neighboring conferences (ICML, ICLR), analyzing contemporaneous preprints, and defining the exact technical delta from prior methods to minimize novelty risk for top-tier AI venues.

A comprehensive guide for refining machine learning research papers tailored for NeurIPS submission. It teaches how to structure introductions, calibrate claims with evidence, explicitly state limitations, and address mandatory academic checklist items (e.g., reproducibility, broader impact). Use this skill to transform technical writing into a reviewer-proof, high-impact academic manuscript.

A comprehensive guide for authors targeting the New Journal of Physics (NJP). It helps authors assess if their broad-scope physics manuscript is a suitable fit for the venue, detailing the required scope (e.g., quantum, AMO, condensed matter), the technical evidence bar, necessary structure, and house style requirements before official submission. This is a crucial pre-submission checklist and framing tool.

A comprehensive guide for authors submitting to Nature Geoscience, detailing best practices for selecting suggested and excluded referees. It teaches how to strategically write the manuscript and cover letter to preemptively address common high-impact journal objections regarding scientific breadth, technical grounding, and uncertainty quantification.

This comprehensive guide outlines best practices for designing rigorous and convincing technical evaluations for networked systems. It structures the process by requiring experiments to answer specific questions, advising authors to climb the evidence ladder from synthetic benchmarks to real-world deployment. Key concepts include reporting tail latencies (p99), establishing strong baselines, and maintaining meticulous provenance records to ensure reproducibility.

This comprehensive guide assists researchers in determining the appropriate scope and venue for their networked systems research. It details the core requirements for top-tier conferences like NSDI, distinguishing between Research, Operational Systems, and Frontiers tracks. Furthermore, it provides critical routing advice for differentiating contributions between related venues such as OSDI, SIGCOMM, and FAST, ensuring the work aligns with the correct technical focus.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.