Skill UI

This skill is designed to mitigate false-positive safety triggers from strict AI classifiers (e.g., cyber, bio/chem, reasoning). It operates by making minimal, surgical edits to sensitive phrases, abstracting away specific domains or actions while preserving the original benign intent and structure. It ensures the prompt remains policy-compliant without losing its core purpose, making it ideal for academic or defensive inquiries.

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

This skill analyzes completed code sessions to automatically extract reusable patterns, transforming raw interaction data into structured, learned skills. It allows the AI to continuously improve its domain knowledge by capturing techniques like error resolution, debugging methods, and workarounds, making it effective for advanced coding assistance and knowledge curation.

Automates the scaffolding of a complete Aggregate Root structure within a specified Bounded Context, adhering strictly to Domain-Driven Design (DDD) principles. It generates necessary files including the entity, supporting value objects, repository interface, domain event definitions, and comprehensive unit test stubs, significantly accelerating the modeling of new business concepts and enforcing domain invariants.

This tool automates the creation of a standard directory structure for a Domain-Driven Design (DDD) Bounded Context. It is essential when starting a new subdomain, separating a large monolithic application, or setting up a fresh, well-organized module structure, adhering to best practices for domain, application, and infrastructure layers.

A comprehensive tool designed to audit and validate the structural integrity of a Domain-Driven Design (DDD) codebase. It detects cross-context import violations, checks for violations of aggregate invariant rules, and enforces naming conventions for domain events and repositories. Ideal for CI/CD gates and pre-merge code reviews to prevent architectural decay.

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.

This comprehensive guide helps elevate a UI from merely functional to polished, purposeful, and aesthetically coherent with its domain. It dictates pre-coding design choices, such as defining the audience, tone (e.g., minimal, industrial), and purpose. It provides rigorous guidelines on establishing visual hierarchy, typography, color palettes, and interactions, ensuring the final product feels intentional and professional, rather than generic or templated.

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

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 for integrating transactional email sending into applications using Mailtrap's Email API. It covers critical best practices, including separating development (Sandbox) and production environments, implementing secure Bearer token authentication, and performing essential domain verification (SPF, DKIM, DMARC). Use this when building features like password resets or debugging email delivery pipelines.

This tool manages the lifecycle of learned intelligence patterns, implementing the crucial DISTILL and CONSOLIDATE phases of the 4-step intelligence pipeline. It enables the capture of successful task knowledge, supports multi-domain adaptation via SONA or MicroLoRA, and consolidates learned patterns into long-term storage to prevent catastrophic forgetting.