Skill UI

This skill automates the process of vulnerability prioritization by querying the FIRST Exploit Prediction Scoring System (EPSS) API. It calculates the real-world probability of a CVE being exploited within 30 days, providing a crucial risk metric that surpasses traditional CVSS severity scoring. Use it for risk-based vulnerability management, allowing security teams to efficiently triage and remediate the most actively threatened vulnerabilities first.

This skill provides a comprehensive framework for vulnerability prioritization by combining three crucial data points: CISA's Known Exploited Vulnerabilities (KEV) catalog (confirming real-world exploitation evidence), EPSS scores (predicting exploitation probability), and CVSS metrics (assessing intrinsic severity). It builds a multi-factor prioritization engine to determine the most critical CVEs for immediate remediation, assisting security teams in managing large vulnerability backlogs efficiently.

Produces a comprehensive and structured change management plan for any organizational transformation or system rollout. This skill guides users through critical phases, including stakeholder analysis, impact assessment, communication strategy, training plan development, and resistance mitigation, ensuring a high probability of successful adoption.

Utilize Monte Carlo simulation to model complex marketing scenarios and predict revenue outcomes with quantified probability distributions. This tool is essential for assessing downside risk, understanding potential upside, and validating the probability of hitting specific revenue targets when testing budget shifts, channel mix changes, or new campaign launches.

Provides a comprehensive guide for authors responding to peer reviewer feedback and revision comments for top-tier academic journals. It teaches structured rebuttal writing, handling disagreements while maintaining professionalism, and managing multi-round revisions to systematically increase publication probability.

This guide provides a strategic framework for authors responding to rigorous peer reviews in high-stakes academic venues. It details how to manage both short-term rebuttals and full revision submissions, covering objection triage (misreading, evidence gaps, adaptive attacks), precise scope definitions, and the formal documentation required for ethics and methodology. Learn to structure your response to maximize acceptance probability.

A rigorous methodological framework for identifying core risk and uncertainty parameters in academic research. This guide details how to design experiments or structural models to explicitly separate confounds (e.g., utility curvature vs. probability weighting, preferences vs. beliefs) and ensure that the measured parameter is genuinely identified, thereby enhancing the scientific rigor of behavioral finance and econometrics studies.

This guide helps researchers determine if their core contribution is focused on measuring or refining a specific risk or uncertainty primitive (e.g., ambiguity attitudes, VSL, probability weighting). It provides a framework to assess scope fit and distinguish between behavioral anomalies, methodological findings, and foundational risk theory, ensuring the paper is positioned correctly for high-tier academic journals like JRU.

A rapid decision-making framework (Observe, Orient, Decide, Act) designed for high-pressure, dynamic environments. It advocates acting on high-probability signals (e.g., 70% confidence) immediately and cycling through observation and action quickly, rather than waiting for perfect certainty. Ideal for incident response, debugging moving targets, and time-bound crisis management.

Prices a resubmission ladder for a paper: costs each submission sequence in months to print and probability of ever placing, using per-venue turnaround and desk-reject figures, then compares alternative ladders under a ±40% sensitivity band.

This skill estimates the probability that a document's prose was written by AI using linguistic analysis. It identifies specific patterns and phrases indicative of AI generation while abstaining on non-prose content like forms or tables. Suitable for educators, publishers, and HR to triage submissions. It provides confidence scores and reasoning but should not be used as sole proof of misconduct.

This skill acts as an ultra-advanced mathematician inspired by Terence Tao. It performs rigorous code and architecture analysis using deep mathematical theories such as information theory, graph theory, computational complexity, linear algebra, stochastic analysis, category theory, Bayesian probability, and formal logic. Ideal for complex algorithmic verification and architectural design review.