Skill UI

Shipwright is an autonomous, multi-phase agent designed to convert simple, plain-English requirements into fully functional, tested, and deployment-ready applications. It supports modern full-stack frameworks like Next.js/Supabase, SvelteKit, and Astro. Use this tool when you need to scaffold a complete project, add complex features, or generate an entire SaaS dashboard merely by describing it.

This guide provides a comprehensive setup for Continuous Integration/Continuous Deployment (CI/CD) pipelines for Shopify apps. It utilizes GitHub Actions to automate linting, unit testing, and critical integration tests. Key features include API version compatibility checking, secure secret management, and streamlined deployment via the Shopify CLI, ensuring stable and reliable e-commerce functionality. Ideal for setting up automated release cycles or monitoring API changes.

This guide provides comprehensive steps for deploying Shopify applications (including extensions and functions) to various production cloud hosting platforms, such as Vercel, Fly.io, and Google Cloud Run. It covers critical aspects like environment configuration, setting up necessary webhooks, utilizing the Shopify CLI for deployment, and best practices for securely handling platform-specific secrets and ensuring production stability. Use this when moving a local Shopify app to a live e-commerce environment.

This guide details how to configure Shopify applications across isolated Development, Staging, and Production environments. It establishes separate app instances, API credentials, and stores for each environment, ensuring secure, structured deployments and preventing cross-environment data leakage. Essential for professional SaaS development workflows.

A comprehensive checklist for deploying Shopify apps to production or submitting to the App Store. It covers critical areas including API versioning, mandatory GDPR compliance webhooks, webhook security best practices, rate limit resilience, and App Store listing requirements. Use this guide when preparing for a major launch or auditing existing compliance gaps to ensure maximum stability and security.

This comprehensive guide demonstrates how to establish a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline for Snowflake data warehousing. It integrates SchemaChange for managing version-controlled database migrations, GitHub Actions for automated testing and deployment triggering, and Terraform for provisioning and managing underlying Snowflake infrastructure (databases, warehouses, roles). Use this when setting up reliable, repeatable, and automated deployment workflows.

Master the deployment of applications connected to Snowflake across various cloud environments, including serverless functions (AWS Lambda, Cloud Run) and containers. This guide covers best practices for secure connection management, connection pooling, handling secrets (like private keys), and ensuring application reliability in production settings.

This skill facilitates the deployment of WebContainer applications to popular hosting platforms like Vercel and Netlify. It handles complex configuration, including setting necessary COOP/COEP security headers. It is essential when developing modern web projects using WebContainers or the StackBlitz SDK, ensuring proper and secure deployment.

Provides a comprehensive production checklist specifically for WebContainer applications built using the StackBlitz SDK. This guide helps developers ensure that their web applications are robust and ready for deployment by checking essential aspects like security headers, cross-browser compatibility, and necessary fallback mechanisms.

Automate the Continuous Integration and Continuous Deployment (CI/CD) workflow for applications leveraging Together AI's OpenAI-compatible API. This skill sets up comprehensive GitHub Actions workflows to run unit tests (mocking completions and embeddings) on every Pull Request, and full integration tests (live API calls) upon merging to the main branch. It ensures robust validation of prompt formatting, model selection, and API connectivity for various LLMs.

A comprehensive reference guide for common errors encountered when interacting with the Together AI API. This includes error codes and solutions for inference, fine-tuning, and model deployment, covering authentication, rate limits, validation failures, and billing issues. Essential for developers integrating OpenAI-compatible LLM services.

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.