Skill UI

A comprehensive guide and technical framework for detecting and mitigating ransomware kill switch mechanisms. It details methods for analyzing mutex guards, domain-based communication, and registry checks. Learn how to deploy proactive mutex vaccination and use Sysmon/DNS monitoring to prevent malware execution during incident response and analysis.

This skill uses advanced AI and LLM capabilities to correlate fragmented Open Source Intelligence (OSINT) data. It ingests findings from diverse sources—including username enumeration, email lookups, social media, domain records, and breach databases—to generate unified, intelligence-grade profiles. It provides link analysis and confidence scoring, transforming raw data into actionable threat intelligence for target profiling.

This skill detects malicious Command and Control (C2) communications tunneled through the DNS protocol. It analyzes DNS query logs for indicators such as DNS tunneling tools (Iodine, dnscat2), Domain Generation Algorithms (DGA), and encoded payloads within TXT/CNAME records. Techniques include Shannon entropy analysis of subdomains, statistical anomaly detection, and machine learning classification. Ideal for network security analysts conducting deep threat hunting and forensic investigations.

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

A comprehensive guide covering best practices for creating videos using Remotion and React. Learn how to incorporate advanced features such as 3D rendering (Three.js), complex animations, audio synchronization, data charting, subtitles, and sophisticated scene transitions. This skill covers 29 domain-specific rules for professional video pipelines.

Extracts business domain knowledge from a codebase, optionally reusing an existing knowledge graph, and generates an interactive horizontal flow graph for dashboard visualization, with lightweight scanning and validation steps.

Generates structured peer-review quality critiques of academic papers, covering summaries, methodology scrutiny, contribution evaluation, literature positioning, and recommendations across domains whenever a user requests reviews, analyses, or summaries of research publications.

A comprehensive guide to structuring Flutter applications using a feature-first, layered architecture. It defines clear separation of concerns across UI, Logic (Domain), and Data layers, ensuring maintainability and testability. This approach guides developers on organizing code by feature modules, making it ideal for building complex, scalable, and long-lived applications while remaining agnostic to specific state management solutions.

This guide provides detailed best practices for writing and maintaining comprehensive End-to-End (E2E) test cases for the 'lark-cli' tool. It covers the entire workflow, from exploring live help documentation and identifying leaf commands, to structuring state-proving tests (e.g., read-after-write assertions) and generating the required `coverage.md` artifact. Use this when adding or significantly updating E2E coverage for any specific functional domain.

Generates consulting-grade research reports in markdown, guiding users through framework creation and final synthesis across market, finance, brand, and industry domains with strict data traceability.

A comprehensive guide to structuring robust Flutter applications using industry-standard layered architecture (UI, Domain, Data). It details patterns like MVVM, Repository pattern, and Use Cases, ensuring clean separation of concerns, manageable state flow (unidirectional data flow), and testability. Ideal for scaffolding new, large-scale projects or refactoring legacy codebases.

samber/oops provides a structured, context-rich replacement for standard Go error handling. It allows engineers to attach critical metadata—such as domain, user ID, stack traces, error codes, and request details—directly to the error object. This ensures that variable data travels with the error through the call stack, enabling advanced APM tools (like Sentry or Datadog) to group and diagnose issues accurately, treating errors as structured, actionable data.