Skill UI

A comprehensive toolset for digital forensics investigators, enabling the parsing of proprietary Microsoft Outlook PST and OST files. It extracts critical evidence including full message content, detailed email headers (for message routing/tracing), attachments, and deleted items from the Recoverable Items folder. Essential for e-discovery, legal investigations, and security incident response to reconstruct communication patterns and analyze message metadata.

This skill provides comprehensive forensic analysis of cryptocurrency payment flows stemming from ransomware attacks. It leverages blockchain APIs and advanced techniques to identify wallet clusters, track fund movement through obfuscation methods like mixers and peel chains, and map funds to exchanges. It is crucial for law enforcement, incident responders, and threat intelligence analysts conducting ransomware attribution.

A comprehensive, structured framework for conducting sophisticated Open Source Intelligence (OSINT) and cryptocurrency forensic investigations. This guide covers operational security (OpSec), target profiling, advanced transaction tracing across multiple blockchain layers (L1/L2), wallet analysis, and identifying linked digital assets. Use this methodology to guide systematic, multi-dimensional intelligence collection campaigns.

Provides expert guidance for connecting to Power BI Desktop's local tabular model using the Tabular Object Model (TOM) and ADOMD.NET via PowerShell. This skill covers model enumeration, executing DAX queries, metadata modification (tables, measures, relationships), query tracing, and model refreshing. It is specifically designed for managing the underlying data model structure when external tools like Tabular Editor CLI are unavailable.

A specialized tool for blockchain forensics, designed to trace the movement of ransomware payments across public blockchains (like Bitcoin). By leveraging APIs from services like Chainalysis and WalletExplorer, it identifies wallet clusters, tracks funds through mixers and tumblers, and maps fund flow from the victim to final exchange deposits. Essential for law enforcement attribution and threat intelligence gathering.

This tool performs pathfinder traversal across a knowledge graph starting from a specified seed entity. It expands outward through causal edges, calculates path relevance scores, and prunes low-similarity branches. It is ideal for conducting impact analyses, tracing dependency chains, or understanding complex relationships within a structured knowledge base.

This guide assists researchers in strengthening the methodological rigor of academic work, particularly in political science. It provides structured methods for defending research design, covering rigorous causal identification for quantitative work (e.g., DiD, IV, RDD) and systematic case selection/process tracing for qualitative analysis. Use this when facing reviewer skepticism or preparing a pre-analysis plan to ensure the evidence credibly connects to the theoretical argument.

This guide provides a rigorous framework for strengthening research design in complex social science manuscripts. It covers methodologies ranging from advanced quantitative causal inference (e.g., DID, IV, RDD) to systematic qualitative case selection and process tracing. It teaches how to defend assumptions, rule out rival explanations, and generalize findings beyond the specific case or setting.

Provides a comprehensive framework for defending the methodological rigor of comparative social science research. This skill guides users through establishing comparative leverage, whether in cross-national panel data, case-based comparisons, or natural experiments. It emphasizes techniques like causal inference, process tracing, and ruling out rival theoretical accounts to strengthen the study's claims.

A comprehensive guide for positioning novel research in elite computer vision and AI conferences (e.g., ECCV). It details how to structure the related work section by tracing academic lineage, handling concurrent work, verifying citation hygiene across venues (CVPR, ICCV, ECCV), and transforming simple bibliographies into strong, argumentative prose. Essential for improving novelty visibility.

A comprehensive methodological guide for structuring and defending empirical research designs in the fields of governance, institutions, and public policy. It covers advanced techniques including causal inference (DiD, IV, RDD), comparative case selection, process tracing, and mixed-methods integration. The skill emphasizes moving beyond mere description to robustly identifying contributions and ruling out rival institutional explanations.

A comprehensive framework for strengthening International Relations (IR) manuscripts, particularly for top-tier journals. It guides researchers through rigorous design requirements, including causal identification in dyadic/network data, structured case selection and process tracing, experimental planning (surveys/conjoint), and formal-empirical linkages. The focus is on ruling out rival explanations and establishing robust empirical claims.