Skill UI

This comprehensive checklist provides a detailed methodology for simulating the initial access phase in red team engagements and penetration testing. It covers a wide spectrum of modern attack vectors, including advanced social engineering (e.g., deepfake, BEC), sophisticated phishing (spear/smishing), exploiting exposed perimeter services (RDP/VPN), and identifying cloud misconfigurations. Use this guide when planning or executing the initial foothold stage to ensure comprehensive coverage against modern threats.

This advanced skill explores offensive reconnaissance techniques focused on defeating modern operating system security boundaries and mitigations. Topics include kernel/user boundary manipulation, sandbox escapes (AppContainer, LPAC), COM/RPC boundary exploitation, hypervisor interactions, and various integrity level bypassing methods. It is essential for planning advanced privilege escalation paths and understanding deep Windows security architecture, including AMSI, WDAC, and ETW manipulation.

This skill provides a deep dive into modern Windows exploit mitigations, including ASLR, DEP/NX, CFG, and CET. It covers how these core protections work, techniques for detecting them, and advanced methodologies for analyzing bypass strategies. It is essential reading for security researchers and penetration testers planning advanced exploitation chains against modern operating systems.

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.

This guide provides a comprehensive reference architecture for building production-ready, enterprise-grade applications on Palantir Foundry. It covers the entire data lifecycle, detailing best practices for the standard data pipeline (Raw > Clean > Model), Ontology design, external API integration patterns, and robust multi-layered security models. Use it when designing, planning, or optimizing complex data infrastructure within Foundry.

Generates publication-quality academic figures through a multi-stage workflow: Claude plans and reviews, while a local Codex app-server bridge renders images with native image generation. Iterates with strict scoring until the figure is paper-ready.

Generates optimized prompts for AI tools like LLMs, image generators, and coding agents. Acts as a dedicated prompt engineer to extract intent and tailor instructions for specific models. Ensures production-ready output without unnecessary explanations, focusing on clarity and effectiveness for writing, fixing, or adapting prompts.

This skill helps plan engaging, structured puzzle-based activities for various settings like classrooms, parties, and corporate team-building events. Users provide the event description, target audience, and overall goal, and the planner generates a comprehensive activity schedule. It includes a minute-by-minute timeline, necessary materials checklist, and generates pre-configured generator links for diverse puzzles (Word Search, Crossword, Sudoku, etc.), ensuring content is theme-appropriate and ready for one-click use.

This skill allows for the generation and execution of complex, optimized SQL queries to derive deep business insights. It supports sophisticated data workflows, including multi-table joins, multi-dimensional analysis (e.g., trend analysis, attribution modeling, comparative analysis), and subsequent recommendations for appropriate data visualizations (e.g., line charts, waterfall charts). It goes beyond simple SELECT statements by planning the query structure, handling schema relationships, and ensuring adherence to best practices.

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

This guide provides detailed, step-by-step instructions for installing and authenticating the Runway ML SDK. It covers prerequisites for both Python and Node.js environments, including setting up API keys and verifying the connection. This setup is essential for developers who plan to perform high-fidelity AI video generation, image editing, or advanced creative content workflows using the Runway platform.