Skill UI

Detects DCOM lateral movement by triangulating Sysmon Event ID 1/3, Windows security logs, and RPC traffic patterns tied to MMC20, ShellWindows, and ShellBrowserWindow abuse, enabling SOCs to hunt and tune detections across AD domains.

Detects anomalous Modbus TCP behavior on SCADA/ICS networks by combining packet inspection (pymodbus, Scapy, Zeek) with statistical and rule-based detection to flag reconnaissance, unauthorized writes, and DoS attempts targeting PLCs.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

This comprehensive guide details techniques for optimizing Linktree API integrations in high-traffic, volatile environments. It covers implementing Redis caching strategies, managing rate limits with exponential backoff, and optimizing batch operations and connection pooling to ensure data freshness, reliability, and cost efficiency.

Comprehensive solution for conducting load testing, performance benchmarking, and auto-scaling setup for various Adobe APIs (Firefly, PDF Services, Photoshop). This guide utilizes k6 for stress testing, simulating real-world user traffic, and includes Kubernetes HPA configuration to ensure the application maintains high availability and stability under peak loads.

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

A comprehensive guide detailing the architecture and strategy for migrating a design system from legacy platforms (like Figma or Adobe) to the Canva Connect API. It employs the Strangler Fig Pattern to ensure a safe, gradual transition, covering asset mapping, adapter layer implementation, and feature flag traffic splitting across multiple phases.

A comprehensive guide and toolset for load testing HubSpot integrations and planning for high-volume traffic. This resource details HubSpot's specific API rate limits (per-second and daily) and provides k6 scripts and capacity calculators to ensure your application scales reliably before deployment in production.

A comprehensive checklist designed to harden Linktree API integrations for high-concurrency, production-grade reliability. It covers critical aspects including secure secrets management, rate limit handling, robust error resilience (circuit breakers, exponential backoff), comprehensive monitoring setup, and advanced security practices like webhook signature verification. Use this guide to ensure link-in-bio analytics remain accurate and system uptime is maximized under viral traffic loads.

A comprehensive architectural blueprint for building a high-read, optimized integration layer with the Linktree link-in-bio platform. This design utilizes a two-tier caching strategy (Redis), event queues (RabbitMQ/SQS), and webhooks to handle extreme traffic ratios. It ensures profile data remains fresh, while providing real-time click analytics and robust scalability considerations for production environments.

Programmatically query Oracle Cloud Infrastructure (OCI) metrics using the Monitoring Query Language (MQL) and create monitoring alarms via the Python SDK. This skill bypasses the limitations of the OCI console query builder, allowing reliable retrieval of key infrastructure metrics such as CPU utilization, memory usage, network traffic, and disk I/O. Ideal for building robust dashboards, automating resource monitoring, and setting up complex alerting rules.