Skill UI

Guides teams through a final launch-readiness checklist covering code quality, security, performance, documentation, feature flags, staged rollouts, and monitoring to ensure confident production deployments.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

Deploy applications or static sites to Vercel instantly via a script that packages your project, auto-detects frameworks, uploads artifacts, and returns preview and claim URLs without requiring authentication.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.

This comprehensive guide provides a structured set of prompts to manage the entire lifecycle of upgrading a legacy .NET solution. It covers everything from initial project classification and dependency compatibility review to code modernization (e.g., async conversion), updating CI/CD pipelines, and defining robust testing and deployment strategies. Ideal for large-scale migration of older .NET applications to modern frameworks like .NET 8.

A comprehensive guide and set of tools for programmatically building, scaffolding, and deploying Power Automate cloud flows using the FlowStudio MCP server. It guides agents through the entire workflow, including checking for existing flows, resolving connection references, defining actions, and final deployment/testing, all without needing to open the portal.

This utility automates the creation of a complete, production-ready Model Context Protocol (MCP) server project using Java. It generates full source code templates, including configuration, tool handling, resource definitions, and prompt logic. The generator provides robust setup for both Maven and Gradle, ensuring the resulting backend service is structured, scalable, and ready for deployment with support for reactive streams and optional Spring Boot integration.

This skill performs a comprehensive security audit of Model Context Protocol (MCP) server configurations found in .mcp.json files. It is designed to identify critical vulnerabilities, including hardcoded secrets (API keys, tokens), dangerous shell injection patterns, unpinned dependencies, and compliance issues regarding approved server lists. Use this skill during security reviews, project onboarding, or pre-commit checks to ensure secure deployment.

This tool provides comprehensive automation capabilities for managing cloud infrastructure on the Render platform via Rube MCP. Users can list, filter, and browse various services (web services, static sites, etc.), manually trigger new deployments, and continuously monitor the deployment status (e.g., checking for 'live' status or catching 'build_failed' errors). It is essential for streamlining CI/CD pipelines, managing projects, and ensuring reliable, automated service updates without manual intervention.

Leverage AI-powered exploratory testing to thoroughly audit web applications and verify functionality. This skill simulates user interaction, detecting complex bugs, validating critical flows (like checkout or login), and checking accessibility compliance. Use it proactively after development to ensure quality before deployment.

This comprehensive guide provides step-by-step instructions for setting up a development environment to use AWS CDK (Cloud Development Kit) with Python. It covers installing prerequisites (Node.js, AWS CLI), initializing a CDK project, managing Python dependencies, and mastering the full deployment workflow, enabling users to define and deploy scalable AWS infrastructure as code.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.