Skill UI

This skill enables users to run standard UNIX command line tools on Windows systems using a Win32 build of BusyBox. It provides PowerShell commands to download the appropriate binary for different architectures and guides on executing UNIX commands by prefixing them with busybox.exe. Useful for system administration and scripting tasks on Windows.

This skill covers splitting extracted text into chunks suitable for LLM context windows or RAG ingestion. It includes configuring chunk size, overlap, and selecting chunker types like markdown, yaml, or semantic. Users can use the standalone chunk command or enable inline chunking during extraction. It supports token-based sizing for specific models and provides configuration options via CLI, config files, or Python API.

Provides guidance and patterns for managing Windows 11 systems, including configuration, updates, and maintenance tasks. Use this skill when you need to perform system administration on Windows 11.

This skill covers the core concepts of context engineering for language models, including system prompts, tool definitions, retrieved documents, message history, and tool outputs. It explains attention mechanisms, context windows, and strategies like progressive disclosure to optimize token usage and agent performance.

This skill specializes in advanced AI context engineering, managing dynamic information flows, vector databases, and knowledge graphs. It assists in building intelligent memory systems, optimizing context windows, and orchestrating multi-agent workflows. Ideal for enterprise-scale AI applications requiring coherent state management, RAG implementation, and semantic retrieval strategies to enhance system performance and reliability.

Context optimization extends effective capacity of limited context windows via compression, masking, caching, and partitioning. It aims to better utilize available capacity rather than increasing window size. Techniques include summarizing context, masking verbose outputs, reusing KV-cache, and partitioning work across sub-agents to reduce costs and latency in AI agent systems.

This skill covers strategies for optimizing Large Language Model context windows to prevent context rot. It includes techniques like summarization, trimming, routing, and prioritization to manage token budgets effectively. Developers can use these methods to build multi-turn conversation systems where context length is a constraint, leveraging tools like tiktoken and LangChain for implementation.

Authorized digital forensics workflow: memory dumps with Volatility, disk and super-timelines, PCAP investigation with tshark, Windows artifact triage, and chain-of-custody evidence preservation.

Reverse engineer EDR internals including user-mode hook tables, ETW, and AMSI to study bypass techniques like direct syscalls, Hell's Gate, and call-stack spoofing. This skill is designed for authorized red-team research and security assessments within controlled lab environments, focusing on Windows endpoint protection evasion.

Hunt NTLM/Negotiate information disclosure on internet-reachable IIS, SharePoint, Exchange, and other Windows-based services. This skill guides authorized security assessments to detect exposed NTLM authentication headers, parse Type-2 challenges, and extract internal domain, computer names, and other juicy details for reconnaissance.

This skill leverages Google Gemini's advanced image generation model to create high-quality, context-specific visuals. It is essential for developers needing placeholder images for UIs, generating detailed diagrams for technical documentation, or visualizing abstract concepts, logos, and assets across cross-platform projects (Windows, macOS, Linux).

Guidance for Makepad cross-platform development. Explains supported platforms (macOS, Windows, Linux, mobile, web) and graphics backends (Metal, D3D11, OpenGL, WebGL), conditional compilation with cfg attributes, and runtime OS detection via OsType. Helps with platform-specific code and APIs.