Skill UI

This skill guides users on querying Azure Monitor activity and sign-in logs using KQL to detect sophisticated security threats. It covers identifying suspicious administrative activities, impossible travel scenarios, privilege escalation attempts, and unauthorized resource modifications. Ideal for Security Operations Center (SOC) analysts building advanced threat hunting rules or developing cloud SIEM detections.

This skill guides security analysts through detecting MITRE ATT&CK T1098 account manipulation techniques. It analyzes Windows Security Event Logs (e.g., 4738, 4728) to find signs of unauthorized privilege escalation, group membership changes, or shadow admin account creation. It is essential for proactive threat hunting, incident response, and validating Active Directory security posture.

Generates a complete, self-contained HTML dashboard for analytics, admin, or control panel views. It structures the layout with a fixed sidebar, top navigation, KPI cards, and detailed charts (using inline SVG). Ideal when the brief requires visualizing key metrics, performance over time, or operational statistics.

A comprehensive, professional single-page dashboard template designed for administration and analytics. It features a fixed sidebar, top navigation bar, KPI card grid, and dedicated space for 1-2 main charts (line, bar, area). It is ideal for operational monitoring, business reporting, and visualizing key performance indicators.

This guide provides a comprehensive framework for conducting heterogeneity and conditionality analysis in Chinese Public Administration (CPA) research. It outlines theory-guided methods for selecting dimensions (e.g., administrative level, governance context, institutional structure) and details best practices for both quantitative (Chow test, interaction terms) and qualitative (QCA) comparison, ensuring findings are theoretically grounded and methodologically rigorous.

This tool guides researchers in selecting and rigorously stress-testing appropriate methodologies (quantitative, qualitative, or normative) for public administration manuscripts. It ensures methodological alignment with the core research question, providing detailed checks for causal inference techniques (DID, IV, RDD) and qualitative rigor, thereby strengthening the overall academic argument.

This comprehensive guide provides a rigorous framework for identifying and testing the causal mechanisms underlying public administration outcomes. It moves beyond merely stating an effect, guiding researchers to detail the specific processes—such as policy execution, attention allocation, or central-local relations—that cause the observed outcome. It covers both quantitative mediation analysis (e.g., causal inference frameworks) and qualitative process evidence gathering, ensuring theoretical grounding and causal rigor in academic manuscripts.

A comprehensive guide for standardizing the presentation of findings in academic manuscripts, particularly for social science and public administration journals. It covers strict formatting rules for quantitative regression tables (three-line style, max 6 columns), variable definition sheets, qualitative data coding tables, and process/mechanism diagrams, ensuring methodological rigor and compliance with high publication standards.

This skill provides a comprehensive framework for authors aiming to submit to the prestigious journal 'E-Government.' It guides users on assessing manuscript fit, aligning research with the journal's focus on digital governance, data element, public value, and administrative reform. It covers scope definition, required methodology, structural adjustments, and mandatory formatting checks.

Guides authors on meeting the rigorous transparency standards required by the European Sociological Review (ESR). It details how to prepare a Data Availability Statement (DAS) and a replication package for statistical and computational manuscripts. The guide covers everything from documenting data sources and versions to handling restricted administrative data, ensuring that the research process is fully reproducible and traceable.

A comprehensive framework designed to ensure environmental economics manuscripts meet rigorous data-availability and reproducibility standards, especially for journals like JEEM. This package guides users to document the entire research pipeline, handling complex issues like data versioning, proprietary satellite/admin data, and multi-step spatial operations by establishing a credible end-to-end reproduction path.

A comprehensive guide for authors submitting policy evaluation manuscripts to academic journals. It outlines the rigorous standards required to ensure full research reproducibility, detailing the process of archiving data and code in public repositories, creating master scripts, and providing documentation for restricted administrative data access.