Skill UI

A structured framework for performing initial security incident triage. It guides analysts through classifying incident types using established standards like NIST SP 800-61r3, assigning business impact severity (P1-P4), enriching alerts with threat intelligence, and determining containment and escalation paths. Use when SIEM/EDR alerts require human judgment or when coordinating multiple concurrent security events.

A comprehensive guide on structuring and writing the 'Related Work' and literature review sections for high-impact, comprehensive computer science journals. It emphasizes establishing the research gap (the 'delta'), structuring comparisons (Classification-Comparison-Gap), balancing literature coverage (classic vs. modern, local vs. global), and adhering to academic citation norms (e.g., GB/T 7714). Essential for authors needing to clearly define their novelty in a cross-disciplinary context.

This comprehensive guide serves as a pre-flight checklist for authors preparing manuscripts for journal submission. It details critical formal requirements, such as strict page limits, mandatory structural elements (e.g., Chinese classification numbers), formula formatting, and adherence to the official submission portal guidelines. Use it to avoid common formatting errors and ensure a smooth initial review process.

This guide helps authors elevate their literature review or related work section from a simple list of papers to a structured, high-impact academic argument. It provides methodologies for building multi-dimensional classification frameworks, defining the technical 'delta' (unique contribution) in original research, and ensuring systematic coverage of both domestic and international literature for top-tier academic journals.

This guide details the mandatory structure and best practices for submitting research articles to PNAS. It covers the proper order of sections (Title, Abstract, Introduction, Results, Discussion, etc.), how to manage length budgets, correctly place Materials and Methods within the main text, and ensure accurate Classification and keywords are chosen at submission.

A comprehensive guide for constructing non-empirical, theoretical figures for sociological theory manuscripts. It details how to design conceptual exhibits—including mechanism diagrams, process models, typologies, and concept maps—that carry theoretical work. Crucially, it emphasizes that these figures must illustrate mechanisms or classifications, and must never include raw data, regression tables, or empirical results.

A structured framework based on the Cynefin model to classify problems by their underlying cause-effect domain (Clear, Complicated, Complex, Chaotic). It guides users on selecting the correct response mode and methodology before attempting solutions, preventing failure due to domain mismatch. Useful when unsure how to approach novel or mixed problems.