Skill UI

This skill provides a comprehensive workflow for verifying the integrity of a system's boot chain using TPM 2.0. It covers local validation by reading Platform Configuration Registers (PCRs) and replaying the event log, and remote attestation by generating and checking signed quotes. Use cases include enforcing Zero Trust device posture, detecting firmware tampering, or establishing secure secret baselines.

Provides comprehensive architectural guidelines and code patterns for developing high-end, immersive 3D web experiences. This skill covers advanced topics such as custom WebGL shaders, post-processing effects (Bloom, Depth of Field), realistic physics interactions, and crucial performance optimization techniques, ensuring a premium, polished user experience across devices.

This skill generates robust, production-grade Appium automation scripts for both Android and iOS. It supports multiple languages (Java, Python, JavaScript) and guides users through best practices for cross-platform testing, including proper locator strategies, explicit waiting, and complex gestures. Ideal for automating mobile QA processes on local emulators or cloud real device farms.

This skill provides a deep framework for validating the spatial composition and technical integrity of a UI. It moves beyond simple visual checks, emphasizing that the output must be rendered and critically assessed at various viewport sizes. Key focus areas include detecting subtle design flaws like overlaps and imbalances, and most critically, implementing mandatory horizontal overflow checks (`scrollWidth`) to ensure the layout remains flawless across all device widths.

A professional 3D mockup template for showcasing modern devices (iPhone, MacBook). It allows embedding real, dynamic HTML content directly into the screen canvas, simulating advanced product launches, app demos, or design presentations. Features include 3D rotation, glass lens refraction, and realistic reflections.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

A powerful tool for creating professional, animation-rich, and zero-dependency HTML presentations. It supports generating pitch decks, workshop materials, or internal talks from scratch, or converting existing .ppt/.pptx files. The system ensures mandatory viewport fitting, responsiveness across all devices, and includes advanced features like keyboard/touch navigation and reveal animations, resulting in production-quality, modern web presentations.

Pi-hole is a powerful, network-wide DNS ad blocker that runs on Linux hosts (like Raspberry Pi). It intercepts all DNS queries on your local network, blocking advertisements, trackers, and known malware domains before they reach your devices. This guide covers setup via Docker or bare metal, configuring network DNS, managing blocklists, and enabling secure DNS-over-HTTPS (DoH) for enhanced privacy.

A comprehensive guide on segmenting a home network using VLANs to dramatically enhance security. Learn how to isolate different device types—such as IoT gadgets, guests, and servers—from main PCs, preventing cross-segment malware spread and unauthorized communication. Covers setup steps for UniFi, pfSense, and OPNsense.

This utility detects and classifies various anomalies (such as spikes, flatlines, drift, or pattern breaks) within telemetry data streamed from IoT devices. It utilizes Z-score anomaly detection to provide actionable insights. This is crucial for investigating unusual device metrics, ensuring system health before deploying major firmware updates (canary advancement), or triaging fleet-wide operational alerts.

This tool orchestrates the entire firmware rollout lifecycle across large device fleets. It supports controlled, gradual deployment strategies, including canary testing and anomaly-gated advancement. Users can deploy new versions, check real-time status, execute rollbacks, or list all ongoing rollout campaigns, ensuring stable and reliable updates.

This tool provides comprehensive management capabilities for Cognitum Seed device fleets. Users can perform various actions such as creating new fleets, listing existing ones, adding or removing individual devices, and deleting entire fleets. It helps maintain firmware policies and manage the lifecycle of connected IoT devices.