Skill UI

This skill guides the construction of complex legal arguments, adhering to the standard persuasive arc: doctrine → theory → normative. It ensures the writing systematically moves from mapping existing law (the problem) to developing a conceptual framework (the why) and finally proposing actionable reforms (the fix). It is essential for building a rigorous, logical, and comprehensive academic argument.

This skill guides legal scholars in transforming a broad legal topic into a single, sharp, contestable, and generalist thesis statement suitable for top-tier law journals. It forces the definition of the contribution's nature—whether descriptive, doctrinal, theoretical, or normative—and structures the argument into a clear, defensible 'contribution contract' for academic editors.

Designed for regulated environments (GxP/GCP), this skill generates and verifies audit trails compliant with 21 CFR Part 11 standards. It ensures every data processing step leaves an attributable, time-stamped, and tamper-evident record, providing electronic signatures and robust data integrity checks (ALCOA+). It is essential for clinical trials and regulated data governance.

This skill facilitates the computation of Electronic Clinical Quality Measures (eCQMs) by leveraging CQL (Clinical Quality Language) logic against the QDM (Quality Data Model). It is designed to extract crucial facts—such as counseling provided, symptoms, or documented exclusions—from unstructured clinical notes. By lifting these facts, it supplements structured EHR data, ensuring that numerators and valid exclusions are accurately captured for quality measure evaluation. Note that this tool augments data capture and does not replace certified measure engines.

This skill facilitates the extraction of population-scale (cohort-level) clinical text from Electronic Health Records (EHR) or FHIR data warehouses using the FHIR Bulk Data Access ($export) operation. It manages the asynchronous job kickoff, polling, and downloading of NDJSON files. The resulting data stream is designed to be fed in batches into OpenMed for mandatory de-identification and Named Entity Recognition (NER) analysis.

A comprehensive guide for embedding OpenMed-powered tools into Electronic Health Records (EHRs) like Epic or Cerner. It covers the entire SMART on FHIR workflow, including OAuth2 PKCE authorization, granular scoping (e.g., patient/DocumentReference.rs), secure token handling, and processing clinical notes locally on-device for de-identification and Named Entity Recognition (NER).

This comprehensive guide outlines a structured methodology for conducting authorized security testing on desktop thick clients (Win/macOS/Linux). It covers critical attack vectors, including local storage analysis, Inter-Process Communication (IPC) vulnerabilities, network traffic interception, client-side trust boundaries, and advanced reverse engineering techniques using tools like IDA and Ghidra.

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.

This skill provides an analytical index of regulatory and doctrinal sources concerning the governance of French listed companies. It aggregates facts, statistics, and citations from key bodies like AMF, ESMA, and professional organizations. Its core principle is 'zero invention,' ensuring every output is rigorously source-cited to maintain objective, fact-based analysis, strictly distinguishing between legal obligations and soft law recommendations.

This specialized AI legal assistant reviews, analyzes, and assesses contracts governed by Icelandic law. It applies mandatory statutes, such as the Contract Act and Consumer Purchase Act, and key legal doctrines (e.g., Reasonableness Doctrine, Good Faith). Use it for conducting thorough legal due diligence, checking validity, assessing risk allocation, and ensuring compliance in cross-border Icelandic agreements.

This skill establishes a rigorous, verification-first methodology for citing jurisprudence from the ICTY, ICTR, and IRMCT. It mandates multi-level checks (existence, content, paragraph) against authoritative databases (irmct.org, UCR) and sources to ensure legal claims are accurate and non-misrepresentative. It guides users through a structured workflow for high-stakes legal research.

A specialized research aid for Investor-State Dispute Settlement (ISDS) law. This tool answers complex questions regarding investment treaty arbitration cases, awards, and doctrines (e.g., FET, Expropriation). It retrieves primary legal documents on demand from sources like ICSID and PCA, ensuring every statement is grounded in the retrieved text with precise, verifiable citations. Designed for legal professionals, academics, and students who require verifiable research support.