Skill UI

This guide helps define a complete observability stack for any service. It systematically covers the Four Golden Signals (latency, traffic, errors, saturation), guiding users to define core metrics, set Service Level Objectives (SLOs), configure actionable alerting rules, and structure comprehensive monitoring dashboards. Essential for establishing robust SRE practices and documenting system health standards.

A comprehensive guide for implementing Brutalist Typography aesthetics across web and mobile platforms. This style intentionally breaks traditional design rules, utilizing massive system fonts, clashing colors (Black, White, Red), and aggressive layouts (overlapping, negative margins) to create a raw, attention-demanding, and unapologetic visual experience. Includes detailed CSS, SwiftUI, Flutter, and React Native examples.

This comprehensive guide outlines the core principles for implementing effective and aesthetically pleasing dark mode across multiple platforms. It covers critical rules such as avoiding pure black backgrounds, defining elevation using lightness contrast, and utilizing desaturated accent colors to reduce eye strain. Detailed code examples for Web (CSS), iOS (SwiftUI), and Flutter are provided, ensuring a premium, high-fidelity user experience.

This skill assists users in defining, adapting, and designing bounded, structured feedback loops for AI agents. Whether you need to find a suitable existing workflow, fine-tune a published loop, or design a new process from scratch, this tool guides you through a safe, iterative methodology. It emphasizes setting clear stopping rules, guardrails, and verifiable, measurable steps to ensure the automation remains controllable and focused.

This skill provides advanced detection methods for credential dumping, covering LSASS memory access, SAM hive extraction, and NTDS.dit theft (e.g., using Mimikatz). It utilizes Sysmon Event ID 10 and Windows Security logs to enable threat hunting, assisting SOC analysts in triaging EDR alerts and building robust SIEM correlation rules.

A comprehensive guide and toolkit for digital forensics experts to parse and analyze raw email headers (Received, Message-ID, etc.). This method traces the true origin of suspicious emails, validates sender authenticity by analyzing SPF, DKIM, and DMARC records, and confirms or rules out email spoofing attempts. Essential for incident response and phishing investigation.

Business Email Compromise (BEC) is a sophisticated social engineering fraud where attackers impersonate executives or vendors to trick employees into making unauthorized fund transfers or disclosing data. This skill provides comprehensive detection techniques by integrating email gateway rules, behavioral analytics, and mandatory financial process controls. It is essential for investigating suspected account compromises and building robust defenses against advanced phishing attacks.

Deploy and operate Falco with the modern eBPF driver in Kubernetes and Docker. Covers driver selection, Helm installation, output channels, and the built-in ruleset that detects container escape, namespace abuse, privileged mounts, and anomalous syscalls. Ideal for enabling runtime security, routing alerts to SIEM or Falcosidekick, and upgrading existing deployments.

This skill provides advanced threat hunting queries for Microsoft Sentinel/Log Analytics. It detects the behavioral and string fingerprints left by popular offensive Entra ID enumeration tools (like ROADtools, AADInternals, and AzureHound) within both MicrosoftGraphActivityLogs and AADGraphActivityLogs. Use this when investigating suspicious Graph API activity, identifying internal reconnaissance, or building detection rules to surface active intrusions.

Hayabusa is a specialized threat-hunting and fast-forensics tool designed to analyze Windows EVTX event logs. It applies a comprehensive library of Sigma detection rules to raw log data, generating a single, prioritized, chronological timeline. The output includes severity levels, MITRE ATT&CK mappings, and detailed metrics, enabling analysts to perform rapid, SIEM-free incident triage and export results for collaborative analysis.

This skill proactively hunts for advanced firmware threats, including UEFI bootkits (e.g., BlackLotus, ESPecter), residing in the EFI System Partition (ESP). It establishes a cryptographic baseline, verifies bootloader signatures, scans for out-of-band changes, and uses YARA rules to detect persistence mechanisms related to pre-OS compromise (MITRE ATT&CK T1542.003). Ideal for forensic investigations and security hardening.

Chainsaw is a fast, Rust-based forensic tool designed for first-response threat hunting. It analyzes collected Windows EVTX files using the comprehensive Sigma rule corpus, built-in detection rules, and high-speed keyword/regex searching. Furthermore, it uniquely analyzes critical artifacts such as shimcache, SRUM, and event-log gaps, providing robust, offline detection capabilities without needing a SIEM pipeline. It is essential for digital forensic triage and hypothesis confirmation.