Skill UI

This skill automates the setup and configuration of Ollama, allowing users to deploy Large Language Models (LLMs) locally. It performs system assessment (OS, GPU, RAM), selects optimal models based on hardware availability, and handles installation across macOS, Linux, and Docker. Use this when you require free, self-hosted AI alternatives, need offline inference capabilities, or wish to eliminate reliance on costly hosted API services.

A comprehensive workflow bundle designed for system administrators and developers. It guides users through the entire lifecycle of system management and shell scripting across Linux, macOS, and Windows. Key phases include environment assessment, writing robust Bash scripts, advanced debugging techniques, linting with ShellCheck, and rigorous test automation using Bats, ensuring scalable and reliable automation.

This skill provides expert guidance on writing highly portable shell scripts that adhere strictly to POSIX standards. It teaches users how to avoid shell-specific extensions (like advanced arrays, specific conditionals, or GNU features) to ensure maximum compatibility and robustness across diverse Unix-like systems (Linux, BSD, Solaris, etc.). Ideal for critical infrastructure scripting and environments requiring extreme cross-platform reliability.

Provides a catalog of Linux and Windows post-exploitation privilege escalation techniques, covering sudo/capability abuse, scheduled tasks, token impersonation, AD kerberoasting, credential harvesting, and tool recommendations for red teamers.

Windsurf is a powerful, AI-powered code editor built on VS Code. This guide covers the complete setup process, including initial installation for macOS/Linux/Windows, crucial Codeium authentication using Google/GitHub, and advanced configuration for enterprise or team deployments. Learn to use Supercomplete and interact with the Cascade AI agent to boost your development workflow.

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

This skill guides the comprehensive packaging and deployment of applications built with Makepad. It covers building for multiple target platforms, including desktop (Windows, macOS, Linux), mobile (Android, iOS), and WebAssembly. Use this guide when setting up CI/CD pipelines, generating distributable installers (.deb, .dmg, .apk, .ipa), or automating release artifacts using tools like cargo-packager and cargo-makepad.

This expert skill performs non-intrusive static analysis to thoroughly audit AI skills and bundles. It identifies malicious patterns, data leaks, system stability risks, and obfuscated payloads across major operating systems (Windows, macOS, Linux/Unix) and mobile platforms (Android/iOS). Use it when verifying skill legitimacy or performing deep cross-platform security reviews.

This comprehensive guide details the process of creating forensically sound, bit-for-bit disk images using industry-standard tools like `dd` and `dcfldd` on Linux systems. It covers essential steps including enabling write protection, documenting source metadata, performing the acquisition, and crucially, verifying the image integrity using cryptographic hashing (MD5/SHA-256). This methodology is vital for digital forensics, incident response, and legal proceedings to ensure evidence remains unaltered and admissible.

This guide details the comprehensive process of using the Linux Audit framework (auditd) to detect advanced security threats. It covers deploying specific rules to monitor critical system files, detecting unauthorized privilege escalation, process injection, and suspicious system calls. Users can then leverage ausearch and aureport to efficiently query, reconstruct timelines, and summarize findings for forensic analysis and compliance auditing.

A comprehensive guide for analyzing malicious Linux ELF binaries. Covers static inspection using tools like readelf and elftools, dynamic tracing with strace/ltrace, and deep reverse engineering using Ghidra/IDA. Essential for investigating botnets, ransomware, and rootkits in Linux server or container environments.

This skill provides a structured approach to detecting kernel-level rootkits in Linux environments. It utilizes memory forensics with Volatility3 (checking syscalls, hidden modules) and compares system views (/proc vs /sys) to identify tampered kernel structures, hooked syscalls, and concealed processes. It also integrates live scanning tools like rkhunter for comprehensive security incident investigation.