Skill UI

A comprehensive guide detailing the end-to-end lifecycle of submitting and managing research for top-tier academic conferences, such as FOCS. It covers the live submission phase, post-acceptance planning, coordinating with sibling venues (like STOC), and backward scheduling for future attempts. Essential for researchers needing structured project management in computer science.

This detailed project management skill provides a comprehensive, backward-planning guide for submitting to highly structured academic conferences, such as HPCA. It maps out critical milestones—from initial venue fit and evidence locking to review, revision, and final camera-ready submission—while identifying common failure modes and coordination requirements to maximize acceptance chances.

This skill guides researchers through the entire end-to-end lifecycle of submitting a research paper to a journal. It structures a 12-step pipeline, covering everything from initial topic selection and literature review to experimentation, reproducibility, submission, peer review, revision, and final camera-ready versioning. It acts as a comprehensive project dashboard for managing the entire academic publishing journey.

This skill manages the end-to-end project lifecycle for academic conference submissions, specifically tailored for major venues like ICLR. It provides a structured timeline, defining critical milestones from initial topic selection and abstract submission through paper deadlines, public discussion, and final camera-ready versions. Use it to sequence research milestones, manage evidence paths, and ensure compliance with conference rules like anonymity audits and strict deadlines.

This guide serves as a comprehensive project management tool for authors submitting to the IEEE ICSME conference. It provides backward-planning heuristics for the entire lifecycle, covering milestones from abstract registration through paper submission, author response, and final camera-ready artifact preparation, accounting for the single-annual-round structure.

This guide helps researchers determine the primary focus of their work—whether it lies in Information Processing (algorithms, estimation) or Sensor Platforms, Tools, and Design Methods (hardware, deployment). It provides a structured methodology for selecting the most appropriate academic venue (e.g., SenSys, MobiSys, INFOCOM) based on the project's technical contribution and maturity.

This comprehensive guide outlines established best practices for developing robust, high-quality applications using Helidon 4 (SE and MP) in Java 21+. It covers API migrations, project structure, dependency management, and architectural patterns for both MicroProfile and standalone services, ensuring adherence to modern Jakarta EE standards and scalable web development patterns.

A comprehensive project management guide for planning submissions to KDD, accounting for its unique structure of two annual submission cycles. It covers milestone tracking, cycle-choice decision matrices, managing the Resubmit loop, and planning evidence lead times from abstract to camera-ready status. Essential for complex, multi-stage data science research.

This comprehensive guide provides a structured project management workflow for academic research targeting the NAACL conference. It addresses the unique challenge of NAACL's irregular calendar (skipped years) by providing a detailed backward planning timeline, managing milestones (data freeze, paper freeze, ARR upload), and implementing a critical decision tree for committing, waiting, or rerouting submissions when conference windows shift.

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.

This guide helps researchers determine if their academic project is best suited for Quantitative Economics (QE) among top economic journals. It provides a structured fit test, guiding users to sharpen the substantive economic question and confirm that the quantitative method is necessary—not merely decorative—to answer it. It helps situate research by comparing QE against pure theory and method-first outlets.

This guide helps researchers determine if their project's core contribution is genuinely centered on recommender systems. It provides a structured fit test to route the work to the most appropriate top-tier venue (RecSys, SIGIR, KDD, etc.) and select the correct conference track before starting the writing process.