Skill UI

This guide outlines best practices for ensuring the scientific reproducibility and artifact availability of network measurement research. It distinguishes between analysis reproducibility (recreating figures from released data) and method reproducibility (re-running the measurement). It mandates thorough documentation of provenance, including vantage points, timing, and tool versions, ensuring research claims are verifiable and robust.

A detailed guide modeling the rigorous multi-round review process for major academic conferences, such as IMC. It covers the unique two-deadline cycle, the distinction between 'One-Shot-Revision' (a bounded, actionable contract) and general revisions, and emphasizes key review criteria including ethical treatment, artifact availability, and vantage-point representativeness. Essential for authors submitting measurement-heavy research.

A comprehensive guide for researchers targeting the International Natural Language Generation Conference (INLG). This tool helps authors refine their manuscript by providing specific architectural advice on framing the contribution, establishing necessary evidence (e.g., rigorous evaluation, controllability metrics), and positioning the work correctly against related fields like dialogue and LLM generation. It ensures the paper meets the high standards expected by top NLP venues.

This skill guides authors preparing multi-robot systems papers for the DARS conference. It provides strategic advice on conference fit, required evidence (e.g., scalability, decentralization), topic scope, and manuscript framing to meet the specific expectations of distributed autonomous robotic systems reviewers. Use this to validate your submission strategy before writing the final draft.

A guide for designing and structuring empirical tables and figures for submissions to International Organizations (IOs). Focuses on meeting strict word limits, ensuring exhibits are self-contained, reproducible, and clearly separating core arguments (main text) from supporting details (supplementary material). Best practices include explicit unit labeling, prioritizing effect plots over dense tables, and guaranteeing that all displayed numbers match the original analysis code.

Provides a comprehensive guide for packaging complex research artifacts, integrating hardware, firmware, and datasets. It outlines best practices for achieving academic badges (e.g., Available, Functional, Reusable) and winning the Best Research Artifact Award. Learn how to structure analysis paths, manage raw traces, and ensure reproducibility across different evaluation environments.

This guide establishes standards for reporting reproducibility in robotics research, addressing the difference between traditional ML and physical systems. It mandates that every claim must be classified as either 'rerunnable' (executable code/simulation) or 'auditable' (detailed logs, hardware specs, and protocols). It covers creating a complete evidence map, detailing the hardware specification ledger, explicitly reporting the sim-to-real gap, and writing an honest availability statement, all within the main paper body.

This comprehensive guide outlines the strict technical and structural requirements for the IROS supplementary video, which serves as primary evidence for submitted research. It details constraints such as the 60-second limit, 10MB size cap, and necessary formats. The guide emphasizes presenting uncut real trials, including labeled failures, maintaining honest playback speed, and performing thorough anonymization to maximize academic credibility.

This skill provides a framework to organize and structurally review readiness evidence for major international standards, including ISO 13485 (Medical Devices), ISO 17025 (Testing Labs), and ISO 15189 (Medical Labs). It helps users define the scope, manage controlled documents, establish traceability, and compile preparatory material for substantive human expert review. It is explicitly a preparation tool, not an audit, certification, or legal determination system.

A comprehensive guide detailing the required structure and evidence for packaging research artifacts for academic evaluation tracks (e.g., ISSTA). It outlines how to achieve specific ACM badges—Available, Functional, Reusable, and Results Reproduced—by ensuring the tool is containerizable, has a clear entry point, and allows key results to be independently regenerated by reviewers.

A comprehensive guide and checklist for authors preparing manuscripts for high-impact academic journals, specifically focusing on the Journal of the Academy of Marketing Science (JAMS). It covers critical steps such as double-anonymization, adherence to APA style, data and code availability statements, and structuring the separate title page, ensuring submission readiness before interacting with the publisher's portal.

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.