Skill UI

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

This guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

Detects and prevents privilege escalation in Kubernetes pods by combining admission control, runtime monitoring, and audit log analysis. Covers security contexts, Linux capabilities, and syscall patterns. Use when investigating pods running as root or privileged, hardening workloads against in-pod escalation, or hunting for containers exceeding their intended scope.

This guide details the exploitation chain for noPac, combining CVE-2021-42278 (sAMAccountName spoofing) and CVE-2021-42287 (KDC PAC confusion). It demonstrates how an attacker can escalate from a standard domain user to Domain Admin by manipulating Active Directory tickets and performing DCSync. Primarily used in authorized red-teaming and penetration testing to validate domain security.

This guide details the deployment and usage of OPA Gatekeeper, a powerful Kubernetes admission controller. Gatekeeper enforces custom policies written in Rego using ConstraintTemplates and Constraints. It validates, mutates, or denies resource requests at admission time, ensuring that non-compliant workloads are blocked before scheduling. Ideal for organizations requiring robust, code-based policy enforcement to meet strict security and compliance standards.

This guide details implementing Policy-as-Code using Open Policy Agent (OPA) and Gatekeeper. It covers writing complex Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, and integrating policy testing into CI/CD pipelines to enforce security standards across clusters. Ideal for DevSecOps practitioners requiring robust governance.

A comprehensive guide detailing Next.js 16+ usage with Turbopack. Turbopack, written in Rust, is an incremental bundler designed to drastically speed up development startup and Hot Module Replacement (HMR) by utilizing file system caching. This document guides developers on best practices, differentiating between the default Turbopack usage and when to revert to Webpack for debugging or compatibility.

A comprehensive guide and toolkit for performing deep security assessments on mobile application backends. It covers identifying vulnerabilities such as broken authentication, insecure token management (JWT, opaque tokens), session fixation, privilege escalation, and IDOR (Broken Object-Level Authorization) across various OAuth flows (OIDC, PKCE). Essential for penetration testers assessing API security.

A comprehensive guide to best practices for using context.Context in Go. Learn how to correctly propagate cancellation signals, handle timeouts and deadlines, and manage request-scoped values across API boundaries, ensuring robust and efficient concurrent application design.

A comprehensive guide for writing safe, explicit, and observable database code in Go. It covers best practices for using standard libraries like `database/sql`, `sqlx`, and `pgx`. Key topics include parameterized queries, context propagation, transaction management, connection pooling, and ensuring data integrity while avoiding common pitfalls like ORMs and SQL injection.

This skill provides comprehensive guidelines for writing idiomatic, robust, and production-ready error handling in Go. It covers best practices for error creation, proper wrapping using `%w`, inspection techniques with `errors.Is` and `errors.As`, adhering to the single handling rule, and utilizing structured logging with `slog`. Use it when auditing, reviewing, or writing new Go code to ensure reliable error propagation and logging.

A type-safe, declarative implementation of ReactiveX in Go. This library enables robust handling of infinite, asynchronous event streams (like WebSockets or tickers) by providing composable operators, automatic backpressure management, and error propagation. It is designed to replace complex, error-prone manual channel and goroutine wiring, allowing developers to build predictable, real-time, event-driven pipelines.