Skill UI

This comprehensive guide defines the secure data lifecycle management for OpenEvidence, an AI-powered platform for clinical evidence synthesis. It outlines data classification (e.g., clinical queries, patient responses), strict adherence to global regulations (HIPAA, GDPR, FDA), and technical requirements for handling Protected Health Information (PHI). Key processes include PHI de-identification, data validation, secure API integration, and compliant data export, ensuring the system maintains the highest level of patient privacy and regulatory compliance.

This guide demonstrates how to implement robust rate limiting and retry logic for critical healthcare APIs using a token bucket pattern. It covers managing specific service limits (e.g., clinical queries, evidence synthesis) and implementing strategies like exponential backoff and batch processing to ensure graceful degradation and reliable data retrieval in clinical decision support systems.

This guide serves as a specialized workflow router for authors writing invited review articles for the Annual Review of Economics (ARE). It maps the entire lifecycle, from initial topic selection and proposal framing to systematic literature synthesis, framework imposition, evidence appraisal, and final revision, ensuring the resulting article is authoritative and comprehensive.

This guide provides rigorous criteria for authors targeting top-tier journals in electrochemical energy storage. It emphasizes that successful submissions must move beyond simple synthesis-plus-capacity reports, instead focusing on robust structure–property–mechanism relationships, supported by advanced operando/in-situ characterization and detailed scientific evidence.

This skill provides a comprehensive guide for authors determining the fit of their empirical software engineering (SE) manuscript for the International Symposium on Empirical Software Engineering and Measurement (ESEM). It helps authors rigorously check the study design, evidence bar, proper framing, and necessary re-framing required to transform a journal or arXiv-style paper into a high-quality conference submission suitable for ESEM reviewers. It focuses on measurement validity, experimental rigor, and evidence synthesis.

A comprehensive guide helping authors determine if their drug discovery review or analysis meets the high bar of Nature Reviews Drug Discovery. It emphasizes that the content must be authoritative, commissioned synthesis, integrating mechanism, clinical evidence, and pipeline status, rather than original primary research. Essential for drafting pre-submission proposals.

This skill provides detailed guidance for authors proposing or writing a high-level, conceptual review for Nature Reviews Materials. It outlines the journal's unique standards, focusing on conceptual synthesis, establishing unifying design principles, and providing an expert map for cross-disciplinary audiences in materials science and engineering. It covers scope, evidence bar, house style, and the crucial pre-submission collaboration process.