Skill UI

A comprehensive guide for authors aiming to submit top-tier technical papers (like those for OOPSLA). It teaches how to transform descriptive drafts into highly verifiable, structured academic arguments. Focus areas include developing running examples, articulating falsifiable claims, optimizing article pacing, and anticipating reviewer challenges to maximize the chances of acceptance.

A comprehensive skill for Particle Image Velocimetry (PIV) analysis. It processes pairs of images to measure 2D fluid velocity fields. Functions include cross-correlation, vector validation, outlier replacement, and calculating derived metrics like vorticity and strain rate. Essential for experimental fluid dynamics visualization and analysis.

This guide helps researchers evaluate whether their high-impact optics or photonics manuscript meets the stringent criteria of Optica. It covers ideal scope (e.g., nanophotonics, quantum optics), required experimental rigor (quantitative measurements, state-of-the-art benchmarking), article structure (concise, load-bearing figures), and official submission guidelines, ensuring the work is framed for broad scientific interest.

A comprehensive late-stage review pass designed for academic manuscripts targeting Organization Science. This skill ensures the paper effectively front-loads the core argument and contribution, translating complex ideas for an interdisciplinary, micro-to-macro audience. It enforces strict adherence to INFORMS house style, structural rigor, and cross-level consistency.

A comprehensive guide for selecting and justifying research designs in Organization Studies. It covers rigorous standards for both qualitative (ethnographic, process, historical) and quantitative approaches. The core principle emphasized is that the design must directly illuminate the underlying organizational mechanism or process, not just measure endpoints.

A comprehensive guide for rigorously positioning an Operations Research (OR) manuscript against prior art. It teaches authors to move beyond vague 'gap' statements by constructing a precise, technical delta against 3-5 closest papers. Focus areas include weakening assumptions, improving bounds, enhancing algorithmic complexity, and defining new operational regimes, often presented in a structured comparison table to satisfy technical reviewers.

A comprehensive guide for authors preparing the camera-ready version of a scientific paper for the OSDI conference. It details the critical final stages of publication, including mandatory content expansion (up to 14 pages), de-anonymization processes, integrating artifact appendices, and coordinating the successful public release strategy for the entire system and paper.

A comprehensive guide for structuring academic system evaluation papers (e.g., OSDI). It dictates how to frame experiments around core research questions, select robust baselines, utilize realistic workloads (including adversarial tests), and apply rigorous measurement disciplines (e.g., reporting distributions, p99s) while maintaining conciseness within strict page limits.

Provides a rigorous framework for ensuring the reproducibility of systems research presented at conferences like OSDI. It mandates maintaining a comprehensive, machine-readable provenance ledger that records hardware specifications, software dependencies, workload traces, and measurement policies throughout the entire experimental lifecycle, preventing 'artifact drift' and ensuring verifiable results.

A comprehensive guide for researchers deciding the optimal venue for systems projects, such as OSDI, SOSP, or NSDI. It provides structured tests (built-and-measured, operational experience) and scoping criteria to help authors determine if their work is a research contribution or a production-level lesson, ensuring projects are routed to the correct academic conference before significant time is spent writing.

A comprehensive guide detailing the specific narrative arc and strict formatting rules for writing technical papers for top-tier system conferences like OSDI. It teaches authors how to structure an argument—from identifying operational pain points to proposing a novel mechanism and presenting measurable results—while adhering to strict constraints such as the 12-page limit and avoiding appendices. This skill focuses on improving scholarly communication and technical clarity.

This guide provides best practices for designing and auditing academic evaluations of programming language features and compilers, following standards used in venues like PLDI. It covers selecting defensible benchmark suites, establishing strong baselines, performing targeted ablations, and measuring multiple performance metrics (runtime, compile time, memory) to ensure research claims are reproducible and scientifically sound.