Skill UI

A comprehensive guide for structuring the 'Related Work' section in academic papers, especially in Computer Vision (CV). It teaches authors how to strategically position their research contribution by covering multiple literature shelves: vision methods, domain constraints, concurrent arXiv work, and prior art. This ensures the paper clearly defines a unique gap rather than merely listing citations, adhering to double-blind review standards.

This guide provides an expert methodology for writing the 'Related Work' section for top-tier web conferences (like WWW). It teaches authors how to establish the paper's academic lineage, contrast the work against competing venues (e.g., SIGIR, KDD), and manage citation hygiene, ensuring maximum impact within strict page limits.

This guide helps authors determine if their research is web-native and which specific research track (e.g., Search, Security, Economics) is the most appropriate fit for submission to the Web Conference (WWW). It outlines critical decision points, distinguishing between general ML methods and web-specific contributions, and advises on optimal submission strategy.

This guide provides a comprehensive framework for designing rigorous and defensible evaluation sections for machine learning and information retrieval papers, particularly for top-tier conferences like WSDM. It covers the four critical evidence quadrants—Effectiveness, Validity, Efficiency, and Robustness—and details necessary protocols, such as temporal splits, proper baseline selection (including heuristics), ablation studies, and hardware-aware performance reporting. Use this when auditing or writing the experimental section of a research paper.

This guide provides detailed stylistic advice for authors submitting papers to WSDM. It emphasizes structuring work around observed user and web behaviors, adopting a self-contained voice that preemptively addresses reviewer objections, and ensuring technical precision in all sections, including ethics and limitations. It transforms raw research into a publication-ready, principle-grounded narrative.

This workflow performs a comprehensive review against the Azure Well-Architected Framework (WAF) using your existing Infrastructure as Code (IaC) and deployed resources. It systematically checks the five pillars—Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency—identifying architectural risks, drift, and compliance gaps. Findings are automatically logged and converted into actionable GitHub issues for streamlined remediation.

This guide helps polish academic manuscripts for submission to specialized journals, such as the Journal of Financial Intermediation (JFI). It ensures adherence to institutional house conventions (numbered sections, author-date referencing, concise abstract) and, critically, structures the argumentation to explain the underlying economic mechanism *before* presenting formal econometric specifications, elevating the paper's scholarly rigor.

A comprehensive guide for authors submitting policy or management papers, detailing the required structure and depth for the institutional background section. It ensures the manuscript meets the high standards of major academic journals by providing a four-part framework, timeline requirements, and linking the policy context directly to the identification strategy.

A comprehensive guide for authors submitting to SIGMETRICS, detailing how to structure the Related Work section. It emphasizes shifting from a simple citation catalog to a 'delta-first' contrast, highlighting the specific technical novelty (e.g., tighter bounds, weaker assumptions) relative to existing literature across multiple performance evaluation lanes (systems, measurement, learning, etc.).

A detailed guide for authors writing the policy implications section of high-level financial research journals. It teaches how to transform abstract academic findings into concrete, actionable policy recommendations for monetary authorities, regulators, and financial institutions, ensuring suggestions are evidence-based, avoid vague generalizations, and specify clear mechanisms and boundaries.

A comprehensive, 10-phase methodology for authorized security assessment of modern APIs, including REST, GraphQL, WebSocket, and SOAP. This guide covers the entire testing lifecycle—from endpoint discovery and authentication bypass (JWT/OAuth 2.0) to sophisticated authorization flaws (BOLA/IDOR/BFLA), input validation, rate limiting, and CI/CD integration testing.

This tool provides a comprehensive, multi-faceted audit of a codebase's health. It scores the project across critical areas like security vulnerabilities, exposed secrets, dependency risks, and structural integrity. Ideal for senior engineers performing pre-commit or pre-release quality assessments to identify weak spots and generate a prioritized remediation plan.