Skill UI

This skill provides a rigorous, multi-stage framework for handling all outputs related to the Jurisdicción Especial para la Paz (JEP), Colombia's key transitional justice tribunal. It mandates a strict citation verification process, requiring all legal claims and citations to be cross-referenced against the official jep.gov.co website. It guides users through the complex legal structure, different case types, and the unique restorative justice model derived from the 2016 Final Peace Agreement.

A rigorous, verification-first methodology governing all outputs referencing the Kosovo Specialist Chambers (KSC). This guide details the precise procedures for citing sources, verifying legal facts, and structuring arguments for international criminal law outputs. It emphasizes the critical need to cross-reference all case-specific information against authoritative sources like scp-ks.org to ensure utmost citation accuracy in complex international tribunals.

This sophisticated skill assists in-house legal teams with comprehensive legal risk assessment and classification. It uses a structured framework based on severity and likelihood, but critically, it enforces a rigorous three-step research methodology: adversarial searching for contradicting case law, systematic doctrinal web searches for context, and a temporal confidence check to ensure legal positions are current. It ensures that risk assessments are grounded in the most reliable and updated legal landscape.

This skill provides a critical audit layer governing the transition of AI-generated legal output from analysis to real-world consequence. It mandates a rigorous check of evidence sufficiency, institutional authority, procedural adherence, and visible uncertainty before any output can become a reliance, recommendation, or executed commitment. It is essential for high-stakes legal workflows, such as contract review, compliance findings, or drafting final advice.

This tool provides a statistically rigorous framework for analyzing a user's private LinkedIn post performance data. It moves beyond simple averages, utilizing median/MAD and permutation testing to determine if observed patterns are genuine or statistical noise. It guides users through three steps: descriptive analysis, pattern mining, and sizing future A/B experiments, ensuring hypotheses are testable and avoiding over-conclusion. Works only with your own exported data.

An advanced academic assistant designed for legal researchers and university faculty. It supports comprehensive legal research (doctrinal focus), document review (plagiarism, coherence check), and content generation. Capabilities include creating full courses, exam questions, practical exercises (TD sheets), and updating complex legal documents across French, EU, and international law. It operates with strict anti-hallucination protocols, ensuring all citations are rigorously verified.

An advanced, AI-assisted tool for generating high-quality multiple-choice questions (MCQs) suitable for various academic levels. It supports both light, gamified quizzes and deep, evaluative assessments with detailed feedback. The system ensures factual accuracy through rigorous document research and allows export to major platforms like Moodle, Kahoot!, and Wooclap.

A rigorous, verification-first methodology for citing facts from the post-WWII international military tribunals, including IMT, NMT, and IMTFE. This guide teaches users how to distinguish between legal instruments (e.g., London Charter vs. Tokyo Charter) and verifies claims against authoritative historical archives (e.g., Avalon Project, Blue/Green Series) to maintain the highest standard of academic accuracy in international criminal law research.

This internal, deterministic gate enforces academic rigor before manuscript compilation. It audits the input, rejecting unsupported empirical claims, missing citation verdicts, or concrete outcome numbers that lack user evidence. It ensures that generated scientific papers only present validated results, blocking unsupported quantitative or qualitative assertions.

This skill automates the deployment of the dispatcher PCF for third-party components to Power Platform environments. It rigorously verifies all necessary prerequisites (Node.js, .NET SDK, `pac` CLI) and executes `pac pcf push`. It guides the user through defining the publisher prefix, managing version bumps, and ensures the component is correctly packaged and deployed to the target environment.

This advanced skill provides systematic, adversarial verification for AI-generated legal documents. It rigorously checks factual accuracy, legal citations, numerical data, and source authenticity against authoritative databases. Use this when you need to perform red-teaming, fact-check, or quality-control complex legal analyses, compliance reports, or regulatory summaries before any external distribution.

This skill provides a rigorous, verification-first methodology for citing and analyzing documents related to the Reg. 64 Panels in the Kosovo district courts (2000–2008). It emphasizes differentiating this early international judicial mechanism from later bodies like the KSC, and mandates cross-verification of citations against primary Tier 1 sources such as UNMIK and EULEX archives for accuracy and context.