Skill UI

A comprehensive guide for advanced DevOps troubleshooting. It covers modern observability practices (ELK, Prometheus, Jaeger), deep debugging for Kubernetes and containers, complex network analysis, CI/CD pipeline failure resolution, and multi-cloud platform issues. Ideal for performing root cause analysis and building highly resilient systems.

This skill provides expert-level diagnostic capabilities for complex distributed systems. It specializes in analyzing production incidents, identifying deep root causes, and designing comprehensive observability solutions. Use this when investigating recurring errors, reviewing system logs/traces, and implementing preventative reliability measures.

This assistant provides comprehensive performance profiling for complex computing systems. It analyzes various targets, including Python scripts, running processes, GPU utilization, and memory bottlenecks. Utilizing both external tools (like nvidia-smi, cProfile) and advanced code instrumentation, it measures CPU, memory, and interconnect performance, generating a structured report with actionable insights and a mandatory changelog of all modifications.

The skill generates professional diagrams (flowcharts, architecture, UML, ERD) using the native draw.io desktop CLI. It creates editable .drawio XML files and exports them to common formats like PNG, SVG, PDF, and JPG. Ideal for visualizing complex systems, data flows, or component relationships.

A comprehensive guideline for establishing and documenting the reproducibility of complex sensor-systems artifacts. It covers necessary components such as firmware sources, detailed hardware Bills of Materials (BOMs) and board files, raw sensor traces, ground truth data, and calibrated measurements. Use this guide to ensure that scientific claims can be verified by a competent reader, detailing the exact dependencies on physical equipment and software toolchains.

This guide details the unique two-deadline review model of SenSys. It provides authors with a comprehensive roadmap for interpreting complex rejection outcomes, structuring substantive revisions, formulating effective responses to reviewers, and understanding critical systems review criteria, such as energy measurement and baseline fairness. Essential reading for systems researchers.

A comprehensive methodology for rigorous scientific research in operating systems and complex systems. This guide details how to pin environments (OS, firmware, hardware), automate data capture, and script all figures to ensure that experimental results are auditable and fully reproducible, protecting findings against review challenges.

This expert skill advises critical infrastructure owners and operators (pipelines, railroads, public transit) on complying with complex TSA cybersecurity directives. It provides deep knowledge of CRMP, CIP, CAP, IT/OT segmentation, and incident reporting protocols. Use it for gap assessments, policy drafting, and security architecture reviews related to transportation critical systems.

This skill guides researchers in selecting and refining topics for the Journal of Systems Engineering (Tianjin University). It helps define system boundaries, identify feedback loops, and ensure testable questions. It prevents vague topics by requiring specific system structures and verifiable outcomes. Suitable for academic research in systems engineering, operations research, and complex systems.