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 provides comprehensive strategies for optimizing API interactions with OpenEvidence. It covers implementing robust caching mechanisms (TTL management), efficient batch retrieval of citations, connection pooling, and handling rate limits. By applying these techniques, users can significantly reduce query latency, ensuring smooth system performance even when handling complex multi-condition queries or large citation batches.

This guide provides essential security protocols and coding best practices for integrating with OpenEvidence, a platform processing Protected Health Information (PHI). It covers mandatory topics such as HIPAA compliance, API key management, webhook signature verification, input validation, and data redaction, ensuring all interactions are secure and audit-compliant.

Provides secure, programmatic integration with the LabArchives ELN and Inventory APIs. This toolkit manages regional endpoint selection, handles complex signed-request authentication (HMAC-SHA-512), and facilitates user authorization flows for automated lab data management and record keeping. It is essential for developing robust, evidence-based science workflows.

A comprehensive debug bundle designed to collect diagnostic evidence from AppFolio property management API integrations. It captures essential data points including API connectivity status for properties, tenants, and work orders; authentication status using client credentials; recent integration error logs; and environment metadata. This allows support engineers to perform root cause analysis and diagnose issues like connectivity failures or authentication rejections without needing live environment access.

This internal agent skill defines the structured procedure for displaying bug triage results in terminal markdown format. It generates comprehensive summaries of bug clusters, provides detailed views of evidence and reports, and handles the parsing and execution flow for user review commands (e.g., `details`, `file`, `dismiss`, `escalate`). It is a core component for automated bug triage and defect management workflows.

A specialized CLI alias designed to implement the PUA P9 protocol, simulating the role of a P9 tech lead for AI coding assistance (Codex/Claude Code). This tool helps users structure complex development tasks by focusing on writing precise prompts, managing execution steps, and strictly adhering to a defined professional protocol, minimizing direct code implementation unless reassigned. It ensures rigorous process management and evidence-based output.

This guide helps researchers determine the suitability of a manuscript for the ACM International Conference on Information and Knowledge Management (CIKM). It provides detailed advice on conference positioning, topic fit (IR, KM, DB, KG), evidence standards, and necessary re-framing techniques to maximize acceptance chances in top computer science venues.

A comprehensive guide for transforming descriptive or mechanical drafts into highly disciplined, theory-driven, and continuous argumentative prose. It teaches authors how to adopt the 'AOS register'—anchoring every interpretive move to evidence—and master crucial elements like terminology management, self-contained abstracts, and rigorous anonymization for top-tier academic journal submissions.

This guide provides stringent best practices for authors submitting papers to top database systems conferences (like EDBT). It emphasizes leading with a concrete data-management contribution, ensuring mechanisms are reproducible in prose, and pairing every claim with rigorous, real-world evidence. It also dictates how to manage scope and adhere to publishing constraints.

A comprehensive guide for authors targeting high-level engineering management journals, such as Frontiers of Engineering Management Science and Technology. It outlines the journal's focus areas, preferred methodologies (models, algorithms, quantitative evidence), required writing structure, and crucial tips to avoid desk rejection, optimizing the manuscript for publication.

This guide outlines the optimal strategy for submitting supplementary material to highly selective technical conferences like ISCA. It addresses the challenge of fitting extensive evidence within strict page limits while maintaining double-blind review integrity. Key topics include fully anonymized artifact links, staging evidence for the revision window, and structuring the post-acceptance release.