Skill UI

This skill guides you through advanced integration patterns to connect Sentry with your full observability stack. Learn how to correlate error events from structured loggers (like Winston/Pino) using Event IDs, track business metrics (counters, gauges) within Sentry, and link performance data across multiple tools (Grafana, Datadog). Achieve end-to-end visibility, ensuring every error is tied back to its root cause and business context.

Automates wandb experiment logger tasks within ML training, providing guidance, best practices, and code or configuration examples plus validation to keep data prep, training, hyperparameter tuning, and experiment tracking consistent.

Tracks approved board meeting decisions using a two-layer memory system, storing raw transcripts and founder-approved outcomes, with CLI switches to review decisions, overdue actions, owner filters, and conflict alerts.

Extract embedded Agent Tesla RAT configuration such as SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 data from .NET assemblies via dnSpy/ILSpy decompilation and memory analysis for malware research or red-team validation.

This skill provides a deep dive into the architecture of low-level keyloggers. It covers techniques such as kernel driver hooks, using WH_KEYBOARD_LL, ETW-based input capture, and analyzing user-mode vs. kernel-mode approaches. Use this methodology to understand input capture mechanisms, research EDR evasion methods, or analyze malware architecture for advanced security threat detection.

This module provides the core `Logger` abstraction for structured logging within the Webiny API context. It supports multiple logging levels (e.g., debug, info, warn, error), ensuring that developers can record application events and operational data systematically. Using this abstraction helps in centralized logging, which is crucial for debugging, monitoring, and maintaining system health.

This package provides essential service abstractions for building command-line interface (CLI) applications within the Webiny ecosystem. It defines standardized interfaces for core functionalities like logging (LoggerService) and managing user interaction (UiService), ensuring consistency, modularity, and type safety across different CLI projects.

This guide explains the universal Dependency Injection (DI) pattern used across all Webiny extensions (API, Admin, CLI, Infrastructure). It details how to correctly implement constructor injection using the `dependencies` array to access core services like Logger, BuildParams, CMS use-cases, and IdentityContext. Mastering this pattern is crucial for building maintainable, type-safe, and cohesive Webiny extensions.