Skill UI

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.

A comprehensive guide and set of best practices for managing complex monorepo architectures. It covers industry-leading tools like Turborepo, Nx, pnpm, and Changesets. Core capabilities include cross-package impact analysis, selective command execution, build optimization via remote caching, and structured migration from multi-repo setups. Essential for large-scale projects with shared codebases to prevent slow builds and dependency conflicts.

A guide for creating and maintaining the canonical `AGENTS.md` file. This skill enforces minimal, high-signal documentation, ensuring agents receive concise instructions regarding package management, file-scoped commands, and project conventions, while strictly omitting filler or obvious context.

This skill guides developers in creating, editing, and validating EAS CI/CD workflow YAML files for Expo projects. It provides comprehensive instructions on defining workflow triggers, structuring jobs, managing dependencies, and ensuring deployment automation adheres to the latest Expo schema and best practices.

This agent ensures seamless continuity across multiple work sessions. It automatically captures, compresses, and stores critical project information—including summarized discussions, architectural decisions, pending tasks, modified files, and technical discoveries. When a new session starts, it loads a comprehensive briefing, allowing users to quickly resume work without losing track of the project's current state.

A powerful code review utility designed for SwiftUI projects. It comprehensively analyzes code quality, ensuring adherence to modern Swift APIs, optimal performance, robust data flow management, and compliance with Apple's Human Interface Guidelines and accessibility standards (like VoiceOver and Dynamic Type). Use this tool when writing, refactoring, or reviewing complex SwiftUI implementations to maintain high code hygiene and maintainability.

Collection of six production-ready project management skills for Claude Code, Codex CLI, Gemini CLI, Cursor and OpenClaw, covering senior PM, scrum master, Jira, Confluence, Atlassian admin and template automation with MCP integration.

A comprehensive 7-stage super workflow designed for advanced GitHub repository management. This tool automates deep audits to detect security secrets, junk files, and code quality issues. It further provides structured PR review capabilities, competitor benchmarking against similar projects, and synthesizes all findings into a prioritized, actionable plan, ensuring your repository is optimized and production-ready.

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.