Skill UI

Structured GDPR Article 35 Data Protection Impact Assessment guidance based on EDPB criteria, Opinion 28/2024, and national blacklists. Assists threshold decisions, full assessment (assets, necessity, proportionality, risk tracks, mitigations), Art. 36 consultation, and multi-jurisdictional analysis for high-risk processing like profiling, AI, biometrics, large-scale monitoring.

This comprehensive guide defines a structured, multi-stage workflow for generating, sourcing, and validating all visual game assets. It covers everything from establishing art direction and style guides to managing technical specifications (resolution, scale, compression), and integrating assets into game engines. Use this for planning sprites, UI elements, concept art, and 3D models to ensure visual consistency and production readiness.

Engine-neutral patterns for building game HUDs and menus that scale correctly across resolutions and aspect ratios. Covers anchor-based responsive layout, safe-area insets, gamepad/keyboard focus navigation, screen stack management, and event-driven UI updates. Use when creating or fixing game interfaces for robust multi-platform support.

Hivemind is an advanced orchestration layer designed to manage complex tasks using a parallel swarm of external, low-cost workers. It simulates a structured team workflow (scout, coder, tester) to decompose large problems, execute subtasks in isolated worktrees, synthesize aggregated results, and perform consensus reviews. This dramatically reduces token costs and enhances reliability for large-scale coding, research, and testing tasks.

This deterministic gate performs an internal pre-compile readiness check for LaTeX manuscripts. It validates crucial elements such as document structure, citation presence, and a language-aware minimum body scale relative to the target page count. While it helps drive authoring repairs, it explicitly does not claim the final page count; the compile_pdf process remains the authoritative source for page validation.

A systematic approach to restructuring code while guaranteeing that the external behavior remains identical. This methodology is crucial for large-scale changes, such as feature extraction, consolidation of logic, or complex ownership moves, where robust verification must bracket every structural edit.

This skill provides a comprehensive framework for designing or substantially improving high-conversion landing pages, marketing sites, and hero sections. It enforces rigorous design architecture, adhering strictly to established token foundations, type scales, and brand voice rules. The goal is to ensure that first-time visitors instantly grasp the product's value and desired action, optimizing the page for maximum conversion rate.

Generate reproducible DRAFT master agreements from one Markdown template plus a per-counterparty JSON spec, with role-selected clauses, rendered Schedule A tables and signature blocks. Suited to NDAs, referral, sourcing and master services papering at scale.

This skill enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding. It applies First Principles and 5 Whys at a micro scale to maintain a stable mental model. Used for security auditing, architecture review, and threat modeling to reduce hallucinations and ensure bottom-up understanding.

Comprehensive expert for deploying and managing AI agents at scale using AWS Bedrock AgentCore. Covers nine core services including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, and Evaluations. Provides deployment patterns, integration workflows, and AWS CLI usage.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

Comprehensive guide for Azure Batch SDK in Java. Learn to create pools, jobs, tasks, and manage compute nodes for large-scale parallel and HPC workloads. Includes client setup, pool/job/task operations, autoscale, and code examples.