Skill UI

This skill acts as an expert architect to generate complete, production-ready Python project structures. It supports various modern architectures, including FastAPI, Django (full-stack), standalone libraries, and CLI tools. It ensures adherence to best practices, includes dependency management (uv, pip), type hinting, and comprehensive testing skeletons.

This skill provides production-ready architectural patterns for building robust mobile applications using React Native and Expo. It covers complex topics like state management, sophisticated navigation flow, integrating native modules, and implementing offline-first capabilities. It is ideal for starting new projects or optimizing existing large-scale React Native applications.

Automates building Redux slices, guiding best practices, producing production-ready code, and validating frontend state management patterns for React and Vue projects.

This guide provides a comprehensive setup for Replit applications. It covers configuring essential files like .replit and replit.nix for dependency management, securely managing environment secrets (AES-256), and integrating robust user authentication via Replit Auth (supporting Google, GitHub, etc.). Ideal for starting a new, production-ready Replit project.

Automates Sentry monitoring workflows through Composio’s Rube MCP by orchestrating issue investigation, project issue management, alert rule configuration, release tracking, and organizational monitoring.

This guide provides comprehensive instructions for setting up and managing Sentry's enterprise-grade Role-Based Access Control (RBAC). It covers establishing the Organization-Team-Project hierarchy, integrating Single Sign-On (SSO) via SAML2, and automating user provisioning with SCIM. Use this when setting up large-scale organizations, enforcing granular team permissions, centralizing identity management, or ensuring regulatory compliance and audit logging.

This comprehensive skill guides the full lifecycle management of Supabase projects in a production environment. It covers essential DevOps practices, including running database migrations, deploying Edge Functions, managing secrets, implementing zero-downtime blue/green rollouts, and executing robust rollback procedures and post-deployment health checks. Ideal for ensuring stable and reliable production deployments.

This skill acts as an expert architect for scaffolding production-ready Rust applications. It generates complete, idiomatic, and robust project structures suitable for binary CLI tools, reusable libraries, and complex multi-crate workspaces (monorepos). It ensures adherence to Rust best practices, including proper module organization, advanced Cargo dependency management, and comprehensive testing setup.

uv is an extremely fast Python package installer and resolver written in Rust. This guide provides a comprehensive workflow for modern Python project management and dependency handling. Use this skill to set up new projects quickly, manage dependencies much faster than traditional tools like pip, resolve complex conflicts, and optimize CI/CD pipelines, especially when dealing with monorepos or needing reproducible builds.

Provides a comprehensive, production-ready reference architecture for building complex applications on Vercel using Next.js and TypeScript. It covers modern best practices, including layered directory structure, secure typed environment variable management (Zod), lazy database singleton implementation, API route patterns, and essential Edge Middleware for authentication and routing. Use this guide when starting a new Vercel project or standardizing existing application infrastructure.

This skill provides comprehensive dependency management for software projects. It analyzes the entire dependency tree to identify security vulnerabilities, suggest safe updates, and help plan major version migration paths. Use this when performing security audits, managing third-party library updates, or planning complex project upgrades.

This guide outlines the Windsurf reference architecture, providing an optimal project structure for development, configuration, and AI context management. It covers rules hierarchy, workflow organization, monorepo strategies, and context pinning to maximize the effectiveness of AI assistants and development tools.