Skill UI

This meta-skill automates the process of handling a GitHub issue by fetching context, delegating the fix to a sub-agent, summarizing the resolution, and finally opening a pull request (PR). It is best suited for small, well-scoped issues with clear acceptance criteria. This pipeline simulates a complete development workflow.

This comprehensive guide and tool suite transforms web designs created in Stitch (HTML/CSS) into clean, production-ready React Native components. It meticulously maps HTML elements (like <div>, <button>) to native RN primitives (View, Pressable) and converts complex CSS styles (Flexbox, typography, shadows) into React Native's StyleSheet.create(). It guides developers to follow architectural best practices, including Atomic Design and data decoupling, for scalable cross-platform mobile development.

A comprehensive guide covering production-grade Android and cross-platform app development. It details best practices for selecting technology stacks (Kotlin, Flutter, React Native, KMM) and implementing modern architectures like Clean Architecture and MVI/MVVM across various platforms.

An expert skill for generating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It guides users through an interactive, multi-phase Q&A process (Double Diamond) to gather comprehensive requirements, analyze model structures, and deliver tailored, actionable rule sets for governance and compliance.

This skill provides a comprehensive, step-by-step workflow for generating complete Power BI reports from scratch using the pbir CLI. It covers everything from initial model discovery and defining design briefs to visual placement, formatting, filtering, validation, and final publishing in Fabric or Power BI Desktop. It ensures best practices are followed to create robust, professional, and interactive dashboards.

This skill provides tools to audit, enforce, and standardize Power BI report themes. It addresses 'formatting debt' by centralizing bespoke visual overrides into the theme JSON, ensuring global consistency. Use it when reports suffer from formatting inconsistency, or when manual visual formatting has cluttered the visual JSON, allowing developers to maintain a clean, scalable report structure.

This guide details the principles of observability, teaching developers how to instrument code by implementing structured logging, metrics, and distributed tracing. It ensures that production features emit sufficient telemetry to answer complex operational questions, transforming unknown failures into diagnosable events. Essential for any service running in production.

A comprehensive guide for managing the entire lifecycle of tabular data models (Semantic Models) in Power BI/Analysis Services. It provides best practices and a tool cascade (CLI, TOM, TMDL) for designing, building, optimizing, refreshing, and auditing models. Use this skill when performing advanced model operations, optimizing performance, or ensuring data quality.

Mason is the dedicated builder agent responsible for writing clean, functional, and production-ready code. He strictly adheres to architectural blueprints and defined checklists, ensuring every feature is implemented with high code quality standards, including comprehensive error handling, security best practices, and testability. Ideal for the core development phase of complex projects.

A comprehensive reference guide covering advanced architectural design patterns crucial for modern, scalable distributed systems. Topics include CQRS, Event Sourcing, Saga, and Circuit Breaker, providing best practices for microservices migration and fault tolerance.

A detailed, comprehensive reference guide covering best practices for securing modern applications. This checklist spans network architecture, API design, data encryption, authentication protocols, and regulatory compliance (GDPR, HIPAA, PCI-DSS), ensuring robust security across the entire technology stack.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.