Skill UI

Provides comprehensive guidelines for improving the reproducibility of academic network measurements and research artifacts, particularly for conferences like SIGCOMM. It details the necessary evidence map and the 'four ledgers'—topology, traffic, configuration, and run—to ensure that all reported claims can be accurately recreated and verified by the wider academic community.

A comprehensive guide for researchers deciding if their networking contribution (mechanism, architecture, or protocol) is a strong fit for SIGCOMM. It provides criteria for distinguishing between research novelty and real-world experience, and routes the work to similar top venues like NSDI, MobiCom, and IMC based on the core technical signal.

A comprehensive guide for computer graphics researchers detailing how to achieve result-level reproducibility, especially for major conferences like SIGGRAPH. It emphasizes pinning all provenance—including assets, random seeds, hardware stacks, and hyperparameters—and methodologies for handling non-determinism in floating-point math and stochastic simulations, ensuring that the reported figures and timings can be regenerated by any reader.

This skill assists researchers in strategically positioning their computer graphics and visualization research. It evaluates whether a contribution is truly "graphics-shaped" (demanding visual results and advancing graphics axes) and recommends the optimal venue (e.g., SIGGRAPH, CVPR, CHI, EGSR) and submission track (Dual-track or Journal-only) based on the nature and maturity of the work. It provides a crucial, high-leverage decision framework before committing to a submission.

This comprehensive guide provides the optimal structure and academic writing discipline for submitting high-quality technical papers to major computer graphics conferences, such as SIGGRAPH. It emphasizes building a compelling 'first-page arc,' leveraging the teaser figure to immediately demonstrate results, maintaining academic honesty by detailing limitations, and adhering to strict page budget constraints.

This comprehensive guide assists researchers in determining the core contribution of their Information Retrieval (IR) work. It provides structured tests to decide whether the contribution lies in retrieval quality or the downstream system. Users learn how to select the appropriate SIGIR track (Full, Short, Resources, etc.) or route their work to neighboring venues like NLP/ML, RecSys, or CHIIR.

A comprehensive guide for packaging and evaluating research artifacts for academic conferences like SIGMETRICS. It details the requirements for achieving ACM Badges (Functional, Reusable, Reproduced) by ensuring the packaged simulation can regenerate key figures and results on a clean machine, moving beyond mere tool execution.

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.

A guide for articulating and bounding a methodological contribution in social science research. It teaches authors how to explicitly state the problem, the failing incumbent method, the mechanism of the fix, and the associated costs, ensuring the claim is proportional, specific, and actionable rather than overly general.

A detailed project management guide for submitting research papers to major cloud computing conferences like ACM SoCC. This workflow covers the entire lifecycle, from initial venue selection and evidence locking to abstract submission, rebuttal, and final acceptance. It provides critical backward planning heuristics and warns authors about common pitfall areas, such as insufficient measurement rigor or poor anonymity handling.

This guide provides expert advice on structuring and writing the 'Related Work' section for top-tier systems conferences (like SOSP/OSDI). It emphasizes shifting from simple citation lists to structural positioning, requiring authors to identify precise differences (e.g., assumption, mechanism, guarantee) between their work and existing research. It also covers academic lineage tracing, double-blind citation rules, and handling concurrent work.

This guide helps researchers evaluate if their systems project meets the standards of top-tier conferences like SOSP. It details the critical 'SOSP shape test'—requiring an extractable Principle, a real Embodiment, and evidence at the claim's scale. It provides a routing table to recommend the most appropriate venue (e.g., OSDI, NSDI) based on the project's center of gravity.