Skill UI

This advanced routing skill guides researchers through the complex process of submitting manuscripts in agriculture, environment, and earth science. It does not replace a single journal profile, but rather classifies the work by sub-field, contribution type, and evidence shape. By evaluating pre-routing gates (e.g., evidence strength, scale match), it determines the best specialist venue for re-framing and submission.

This comprehensive routing skill guides users through the complex process of selecting the most appropriate English-language academic journal for their manuscript. It acts as a high-level meta-guide, moving beyond single-journal profiles. Users classify their work based on its contribution type (e.g., causal effect, new theory), methodological shape (e.g., structural, field experiment), target discipline (e.g., finance, marketing), and ultimate submission goal (e.g., top-5 venue). It provides actionable advice for re-framing and optimizing fit.

This comprehensive guide provides best practices for designing, running, and reporting computational experiments for academic journals. It teaches authors how to make performance claims scientifically defensible by addressing potential referee criticisms (e.g., tuning artifacts, seed luck). It covers advanced statistical techniques (performance profiles, nonparametric tests) and details the full structure required for a complete, verifiable GitHub data deposit.

A comprehensive guide for authors preparing rebuttals to multiple reviewers at INTERSPEECH. It provides strategic advice on tailoring responses to diverse expert profiles (e.g., speech engineers vs. scientists), managing the 4-page constraint, maintaining anonymity, and structuring responses to maximize impact on the meta-reviewer. Essential for authors navigating the competitive academic publication process.

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 checklist for auditing submissions to top-tier data mining conferences like KDD. This guide covers critical areas including track declaration, OpenReview profile completeness for all authors, adherence to strict page limits, double-blind anonymity rules, and quantifying post-launch performance evidence. Essential for maximizing acceptance chances.

Profiles a paper and matches it to suitable academic journals from an index of 743 venues, ranking candidates into reach, match, and safe categories with a resubmission ladder. Ideal for authors deciding where to submit or resubmit after rejection.

A comprehensive audit guide for authors submitting to WACV. It covers critical submission decisions, including choosing between Round 1 or Round 2, selecting the appropriate Applications or Algorithms track, adhering to the 8-page limit, maintaining double-blind anonymity, and ensuring all coauthors have valid OpenReview profiles to prevent desk rejection.

This skill allows users to select and implement various compliance-aligned privacy policies (such as HIPAA Safe Harbor, GDPR pseudonymization, and PIPEDA) for robust de-identification. It manages complex policy profiles, ensuring data is masked, redacted, or pseudonymized according to specific legal requirements, while also supporting custom surrogate generators for advanced research needs.

This skill parses complex, free-text clinical trial eligibility criteria from sources like ClinicalTrials.gov into structured, machine-readable rules. It then evaluates these criteria against a comprehensive patient profile (derived from OpenMed data) to determine potential eligibility. The output provides an explainable verdict (eligible, ineligible, or unknown) for every criterion, serving as a critical decision support tool for clinicians and researchers.

This skill connects extracted drug entities with authoritative regulatory facts from the public OpenFDA API. It retrieves Structured Product Labeling (SPL) data, NDC package codes, approved indications, boxed warnings, and current recall/enforcement status. It is essential for enriching drug profiles, providing regulatory context, and supporting unexpectedness checks. Note: This skill provides information, not clinical decision support.

This skill validates FHIR R4 resources and Bundles against mandatory US Core profiles (USCDI). It goes beyond mere syntactic checks to ensure that data prepared for submission to major Electronic Health Records (EHRs) like Epic or Cerner meets the required US-specific conformance standards. It detects common data gaps, checks 'must-support' elements, and converts the comprehensive validation report into a standard FHIR OperationOutcome for seamless pipeline integration.