Skill UI

This guide details the detection and exploitation of the critical MS17-010 (EternalBlue) vulnerability in SMBv1. It covers the full red-teaming lifecycle, including vulnerability scanning using Nmap and executing payloads via Metasploit. It is designed for authorized penetration testing and simulated adversary engagements against legacy Windows environments.

Scans web server roots for high-entropy files, suspicious PHP/JSP/ASP payloads, and recent modifications to flag obfuscated webshells via entropy thresholds, regex signatures, and file metadata.

Uploads a file to Google Drive via the gws CLI and automatically infers metadata such as MIME type and filename, with optional parent folder or custom name flags for scripting and automation.

Exports a Google Sheets spreadsheet to CSV via gws commands for local backup or downstream processing, using sheets metadata and drive export or direct read operations.

Guides security teams through using Metasploit’s console, modules, payloads, and Meterpreter workflow for authorized penetration tests and post-exploitation procedures.

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.

This guide demonstrates how to deploy GPU workloads on the CoreWeave platform using Kubernetes (kubectl). It covers deploying vLLM inference services for large language model (LLM) testing and running batch CUDA jobs for benchmarking. This is ideal for users running their first GPU workloads, testing inference pipelines, or verifying cluster access on bare-metal GPU nodes (A100, H100).

This guide provides step-by-step instructions to configure access to the CoreWeave Kubernetes Service (CKS). It covers downloading the kubeconfig file, setting API tokens, and verifying GPU node access using standard `kubectl` commands. This is essential for deploying AI/ML workloads on bare-metal GPU infrastructure.

A comprehensive guide to planning, executing, and optimizing paid media campaigns across major platforms like Google Ads, Meta Ads, and LinkedIn. Covers full-funnel targeting (TOFU-BOFU), critical KPIs (ROAS, CPA), budget allocation rules, and best practices to maximize customer acquisition efficiency.

Pi-hole is a powerful, network-wide DNS ad blocker solution that runs on Linux hosts (like Raspberry Pi). It automatically blocks ads, trackers, and malware domains for every device on your network without requiring browser extensions. This guide details installation via Docker or bare-metal setup, configuring it as the primary DNS server for a home network, managing blocklists, and implementing advanced features like DNS-over-HTTPS (DoH) for enhanced privacy.

Expert assistance for creating, optimizing, and scaling paid advertising campaigns across platforms like Google Ads, Meta, LinkedIn, and Twitter. Covers strategy, audience targeting, bidding, budget management, and performance analysis including ROAS, CPA, and retargeting. Includes specific playbooks for B2B, ABM, and platform-specific operations to drive efficient customer acquisition.

This meta-skill is designed for complex decision analysis when a user provides or references structured documents such as contracts, quotes, spreadsheets, or notices. Instead of simple summarization, it extracts key evidence, identifies risks (e.g., renewal risk, payment terms), and structures the output into decision-ready formats, such as 'sign/reject/negotiate' recommendations, evidence tables, or required next actions. It supports input from PDF, DOCX, and XLSX formats.