Skill UI

Deploy applications to Render by analyzing repositories, generating render.yaml blueprints, and creating services via MCP tools; works for Git-backed projects and guides users through Render-specific flows, credentials, and Docker image options.

A comprehensive guide for migrating existing applications from platforms like Heroku, Railway, Vercel, and local development environments to Replit. It covers critical steps such as converting configuration files (Procfile to .replit), adapting to Replit's Nix-based system, and performing database migrations (PostgreSQL, MongoDB). Essential for developers upgrading or moving their deployment stack.

This comprehensive guide details the complete workflow for setting up and maintaining a local Supabase development environment. It utilizes Docker and the Supabase CLI to run the entire full-stack service (Postgres, Auth, Storage, etc.) locally. It guides developers through initialization, creating version-controlled migrations using diff, seeding data, and performing clean database resets, ensuring local iteration accurately mirrors production capabilities.

A comprehensive guide for diagnosing and resolving common errors encountered when utilizing the Vast.ai platform. It provides quick references and fixes for HTTP status codes (e.g., 401, 429), instance lifecycle issues, CLI command failures, Docker image loading problems, SSH connectivity errors, and CUDA memory issues. Essential for maximizing GPU rental efficiency and debugging cloud instances.

This guide establishes a fast, reproducible local development workflow for GPU workloads using Vast.ai. It covers key practices such as testing Docker images locally (in CPU mode), mocking external APIs like Vast.ai, and implementing robust unit and integration tests. This is essential for minimizing cloud GPU costs and accelerating the iteration cycle for complex AI/ML projects.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

Comprehensive guide for upgrading the Vast.ai CLI and Python SDK. This skill helps users manage API version migrations, detect breaking changes, and update associated Docker images (e.g., CUDA versions). It ensures continuous compatibility when working with cloud GPU computing resources.

This skill leverages AI to analyze your application and automatically generate highly optimized Dockerfiles. It incorporates industry best practices like multi-stage builds, minimal base images, and robust security configurations. Use it when containerizing applications or needing to optimize existing Docker configurations for production deployment and efficient orchestration.

Automatically monitors YAML workflows to validate syntax, infer schemas, convert formats, and harden Kubernetes/Docker Compose/CI configurations while spotting anti-patterns and security gaps.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.

This skill automates the creation of isolated, pre-configured development containers (devcontainers). It scans the project structure to detect supported languages (Python, Node.js, Rust, Go) and intelligently generates the necessary configuration files, VS Code extensions, and setup scripts. It ensures all required tools are installed in a sandboxed environment, making it ideal for starting new multi-language projects or needing consistent, reproducible development workspaces.

Sets up production-ready Odoo with Docker, docker-compose, PostgreSQL, persistent volumes, env config, optional Nginx SSL proxy, plus diagnostics and best practices for launching on VPS or local dev.