Skill UI

This comprehensive profiler provides systematic performance analysis for modern applications built with Node.js, Python, and Go. It detects critical bottlenecks across CPU, memory, and I/O dimensions. Key features include generating flamegraphs, analyzing bundle sizes, optimizing database queries (N+1 detection), and running rigorous load tests using k6 and Artillery. It mandates before-and-after measurements to ensure verifiable performance improvements.

This comprehensive guide provides advanced troubleshooting workflows for complex, microservices-based environments running on Kubernetes. It covers diagnosing issues like CrashLoopBackOff, cascade failures, resource pressure (CPU/Memory), and detailed Redis state analysis, ensuring systematic root cause identification across multiple services.

A specialized analyzer designed to examine Siemens S7comm and S7CommPlus protocol traffic. It helps security professionals assess the security posture of SIMATIC S7 PLCs, detecting vulnerabilities such as unauthorized program downloads, PLC stop commands, and potential integrity bypasses in Operational Technology (OT) environments.

Collects comprehensive diagnostics from an unresponsive Oracle Cloud Infrastructure (OCI) compute instance. This tool gathers critical data—including serial console logs, cloud-init logs, VCN flow logs, and CPU metrics—into a single, self-contained tar archive. Use this when an instance is failing, stuck in provisioning, or showing underlying infrastructure errors, providing support teams with all necessary information for root-cause analysis.

This skill generates a comprehensive capacity plan document for any service. It assists technical teams in proactively managing infrastructure by modeling traffic growth, forecasting resource utilization (CPU, memory, connections), projecting costs, and defining clear scaling strategies. Use this when assessing current resource headroom, planning for seasonal peaks, or defining a long-term infrastructure action roadmap.