Skill UI

A comprehensive guide for authors targeting the IEEE International Conference on Data Engineering (ICDE). This skill helps assess venue fit, re-frame manuscripts from journal/arXiv styles, and structure papers for top CS conferences. It details required evidence (system architecture, realistic workloads) and best practices for positioning contributions in data engineering, database systems, and analytics.

A comprehensive guide for authors submitting data mining research to elite computer science venues like ICDM. This skill helps define the paper's fit, target the correct scope (algorithms, graph mining, etc.), and structure the manuscript to meet rigorous academic standards. It emphasizes providing sufficient evidence, rigorous baselines, and clear positioning relative to the conference's focus.

This comprehensive guide helps authors assemble and audit the Supporting Information (SI) for a Journal of the American Chemical Society (JACS) manuscript. It ensures every reported chemical result and structure is fully reproducible by an independent chemist, covering detailed procedures, full characterization data (NMR, HRMS, IR), stereochemistry, and crystallographic details (CIF/CCDC).

This guide provides a sophisticated framework for structuring the related work section when submitting research to KDD. It instructs authors on how to position their work within the deep academic lineage of data mining, comparing their novelty not just to prior KDD volumes, but also to major ML flagships (ICML, NeurIPS) and specialized venues (WWW, ICDM). Learn to articulate mechanism-level differences and avoid common citation traps.

This guide helps researchers navigate the complex landscape of academic publishing in distributed computing. It provides detailed criteria to differentiate between major specialized venues (like PODC, DISC, SPAA) and general systems conferences (ICDCS, OSDI). By analyzing the model, cost measure, and nature of the proof (e.g., provable guarantees, impossibility results), users can determine the best fit for their theoretical contribution, thereby avoiding common submission mistakes and maximizing impact.

This guide directs authors on how to structure the related work section for academic papers in database theory (e.g., for venues like PODS, ICDT). It emphasizes a 'delta-first' approach, requiring authors to compare their specific *results* (theorems, bounds, dichotomies) directly against the nearest prior *results*, rather than simply cataloging related citations. It also covers complex rules regarding self-citation, anonymity, and overlap declaration with concurrent or prior-version work.

A comprehensive guide for researchers to determine the optimal academic venue (e.g., PODS, SIGMOD, VLDB, ICDT) for their paper. The guide helps distinguish between contributions that are foundational theorems (theory) and those that are performance-measured systems artifacts, ensuring proper scope definition before submission.

This comprehensive guide teaches researchers how to conduct an exhaustive "reinvention audit" for academic papers, specifically in the database field. It covers searching deep historical literature (pre-2000), modern conference venues (SIGMOD, ICDE), and industrial open-source systems (PostgreSQL, RocksDB) to ensure true novelty and properly position the contribution delta.

The Azure CLI command group for managing Azure Container Registry (ACR). This tool allows users to perform the entire ACR lifecycle, including creating registries, authenticating credentials, building and pushing container images (using cloud builds), importing images from other sources, and configuring advanced features like geo-replication, private endpoints, and webhooks. Essential for CI/CD pipelines and container deployment workflows in Azure.

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.

A powerful post-deployment monitoring tool designed for continuous quality assurance in CI/CD pipelines. It captures a performance baseline before deployment and then continuously monitors live applications after deployment. It alerts on critical failures (e.g., 5xx errors), performance regressions, and unexpected changes, ensuring that new releases maintain production stability.

This script automates the Git push process, ensuring safety checks (e.g., preventing direct pushes to main branches) and verifying uncommitted changes. Upon successful push, it dynamically generates and displays direct tracking links for CI pipelines on major platforms like GitLab and GitHub Actions, providing immediate status updates for development teams.