Skill UI

This skill provides comprehensive monitoring capabilities for GPU instances running on Vast.ai. It collects key metrics including GPU utilization, instance uptime, temperature, and accumulated costs. Use this when setting up operational monitoring dashboards, configuring critical alerts (e.g., idle GPUs, high temperature, budget overruns), or automating resource usage tracking in a cloud computing environment.

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

Weights & Biases (W&B) automates experiment logging, real-time dashboards, hyperparameter sweeps, artifact tracking, and model registry/versioning for ML teams using PyTorch, TensorFlow, or HuggingFace workflows.

Monitor the adoption, feature usage, and overall Return on Investment (ROI) of AI tools like Windsurf. This skill provides comprehensive analytics, including daily active users, completion acceptance rates, and estimated time saved. It allows teams to set up usage alerts, identify underutilized seats, and build custom extensions to measure deep usage patterns, ensuring maximum team efficiency and quantifying AI impact.

Guides service firms through setting up Odoo Project and Timesheets with billable tracking, task stages, approvals, budgets, and converting approved hours into invoices for Time & Materials billing.

This skill facilitates the creation of real-time incident response dashboards across major SIEM platforms (Splunk, Elastic, Grafana). It provides SOC analysts and leadership with unified situational awareness by tracking affected systems, containment status, Indicators of Compromise (IOC) spread, and the entire incident response timeline, crucial for coordination and post-incident reporting.

This skill provides comprehensive tracking and visualization for Security Operations Center (SOC) performance. It calculates critical metrics such as Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), and alert quality ratios using SIEM data. Ideal for SOC leadership, compliance auditing, and continuous process improvement initiatives needing quantifiable security posture reporting.

This skill provides a comprehensive framework for tracking vulnerability aging and enforcing Service Level Agreements (SLAs). It calculates time-to-remediation against severity-based deadlines (e.g., 14 days for critical), incorporating adaptive modifiers and automated escalation paths. It is essential for establishing compliance policies, measuring remediation efficiency, and managing organizational risk.

This comprehensive guide details the implementation of a Vulnerability Remediation SLA program. It covers establishing mandatory patching timeframes based on asset criticality and CVSS severity, defining exception processes, setting up escalation chains, and integrating tracking metrics (KPIs) into existing ticketing systems. Use this when defining mandatory security patching policies or maturing vulnerability management processes.

This skill guides the systematic management of Indicators of Compromise (IOCs). It covers the entire lifecycle, from initial discovery and validation through enrichment (e.g., VirusTotal, Shodan) and deployment to SIEM/IDS. Key features include confidence decay over time, false positive tracking, and automated retirement policies, ensuring the threat intelligence database remains high-quality and actionable.

A comprehensive guide for collecting, parsing, and correlating system, application, and security logs from diverse sources (Windows, Linux, Web). This technique is crucial for reconstructing detailed event timelines, identifying initial access vectors, tracking lateral movement, and establishing evidence of unauthorized activity during post-breach forensic investigations.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.