Skill UI

This guide provides comprehensive methods for load testing and capacity planning of Vercel serverless deployments. Learn how to use professional tools like k6 and autocannon to simulate realistic traffic spikes, measure latency (P95, P99), analyze cold start impact, and tune concurrency settings (Fluid Compute) to ensure optimal application performance and scalability under heavy load.

A powerful tool for architecting production-grade multi-agent workflows. It allows users to define complex, multi-step AI pipelines using structured patterns (sequential, parallel, hierarchical). Key features include defining explicit handoff contracts, implementing robust failure handling, and managing context/cost discipline across long-running processes, ensuring reliable and scalable AI system deployment.

Generates practical and robust CI/CD pipelines by programmatically detecting the project's entire technology stack (language, runtime, tooling). It provides fast baseline setup for GitHub Actions or GitLab CI, ensuring repeatability, environment awareness, and alignment with project dependencies. Ideal for onboarding new repositories, standardizing DevOps workflows, or migrating existing deployment processes.

Submit and manage autonomous lab protocols on Ginkgo Cloud Lab, leveraging RACs for cell-free protein expression validation/optimization, fluorescent pixel art, EstiMate AI assessments, and guided ordering of sample inputs through the web interface.

An expert guide detailing the SuperScalar protocol and Bitcoin Lightning channel factories. It explains scalable onboarding mechanisms using shared UTXOs, advanced cryptographic structures like Decker-Wattenhofer trees, and MuSig2. This knowledge is vital for understanding how Bitcoin can scale significantly without requiring disruptive soft forks.

This guide details the process of configuring microsegmentation policies to enforce least-privilege access between workloads. It covers the entire workflow, from application dependency mapping and discovery (Phase 1) to defining label-based, default-deny security zones (Phase 2). It is crucial for preventing lateral movement in highly secure, zero-trust architectures using tools like VMware NSX, Illumio, and Calico.

This tool simulates various BGP hijacking scenarios, including prefix hijacking and route leaks, within authorized, isolated lab environments. It is designed to assess the effectiveness of critical network defenses such as RPKI deployment, route origin validation, and BGP monitoring systems against unauthorized route announcements. It is a training and validation tool for network operations teams.

This guide details how to implement Kubernetes Pod Security Standards (PSS) using the Pod Security Admission (PSA) controller. PSS defines three mandatory security levels—Privileged, Baseline, and Restricted—for container workloads. It is essential for enhancing security posture, ensuring compliance, and migrating away from deprecated PodSecurityPolicy (PSP) controls by applying namespace labels and defining compliant pod specifications.

OPA Gatekeeper is a powerful Kubernetes admission controller that enforces policies using Rego rules. It utilizes ConstraintTemplates and Constraints to validate, mutate, or deny API requests at the cluster admission stage. This tool is essential for implementing policy-as-code practices, ensuring that Kubernetes deployments adhere to organizational security standards, compliance requirements, and best practices, such as mandating labels or blocking privileged containers.

A comprehensive playbook designed for Operational Technology (OT) and Industrial Control Systems (ICS) environments. It provides structured, phased incident response procedures aligned with SANS PICERL, IEC 62443, and NIST standards. It specifically addresses safety-critical challenges, process availability, and the unique coordination required between IT Security, OT Engineering, and Plant Operations during cyber incidents, such as ransomware attacks.

Pod Security Admission (PSA) is a built-in Kubernetes admission controller designed to enforce Pod Security Standards (Baseline, Restricted, Privileged) at the namespace level. It serves as a crucial replacement for the deprecated PodSecurityPolicy (PSP), allowing users to implement robust security controls and maintain compliance. By applying specific labels, administrators can set enforcement modes (enforce, audit, warn) to harden container environments against unauthorized privilege escalation and security risks.

This guide details how to simulate ARP spoofing attacks in controlled, authorized lab environments. It demonstrates Man-in-the-Middle (MITM) risks by poisoning the ARP cache, allowing users to test network detection capabilities (IDS/IPS, DAI) and validate the effectiveness of security controls like port security and 802.1X. This skill is strictly for authorized penetration testing and educational purposes.