Skill UI

A comprehensive guide and set of tools for establishing a local development workflow tailored for CoreWeave GPU deployments. This includes steps for building Docker containers, validating Kubernetes YAML manifests using dry-run, and managing the full deployment lifecycle for AI inference services before pushing to the cloud.

This skill provides instructions for deploying Flexport logistics integrations across various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It is essential for setting up reliable, always-on webhook receivers, shipment tracking dashboards, and background workers necessary for comprehensive supply chain automation services in a production environment.

This skill creates and synchronizes prompt-based AI agents directly into Azure AI Foundry using the Agent Service REST API. By defining agents in a local JSON manifest, the skill registers them server-side, making them instantly available for evaluation and invocation within the Foundry ecosystem. It is essential for deploying, updating, or managing AI agents at scale within the Azure cloud environment.

This comprehensive guide details the implementation of secure, event-driven webhooks for Adobe I/O Events. It covers the complete lifecycle, including programmatic webhook registration, handling the challenge-response handshake, implementing robust RSA-SHA256 signature verification, and routing incoming events from services like Creative Cloud and Experience Platform. Essential for building mission-critical, integrated backend systems within the Adobe ecosystem.

This guide provides comprehensive instructions for deploying AssemblyAI-powered transcription services to major cloud platforms like Vercel, Google Cloud Run, and Fly.io. It covers essential steps including secure secret management, setting up webhook endpoints for asynchronous notifications, and implementing streaming token endpoints for real-time client use in production environments.

This guide provides a comprehensive blueprint for deploying the Abridge clinical AI integration to highly secure, HIPAA-compliant cloud infrastructure. It covers best practices for healthcare deployments, including utilizing BAA-covered services (GCP Cloud Run), robust secret management via GCP Secret Manager, and implementing VPC-restricted networking for maximum data security.

This comprehensive guide walks through setting up Adobe Developer Console OAuth Server-to-Server credentials. It is critical for establishing any new programmatic integration with Adobe services, including Firefly AI, PDF processing, and Creative Cloud access. The process covers project setup, installing various SDKs (Node.js/Python), and securely generating access tokens.

A deep-dive guide for re-architecting complex enterprise systems within the Adobe ecosystem. This skill covers three major migration patterns: consolidating multiple legacy Adobe APIs into the unified Firefly Services SDK, implementing 'strangler-fig' patterns to replace competitor APIs (e.g., PDFTron, Cloudinary) with native Adobe services, and migrating authentication methods (JWT to OAuth). It provides practical code examples and architectural advice for full platform replatforming.

A comprehensive guide for developers tackling critical Adobe API upgrades. It covers major breaking changes and migration paths, including transitioning from JWT to OAuth Server-to-Server authentication, updating the PDF Services SDK from v3 to v4 (job-based API), and migrating Photoshop endpoints from v1 to v2. Essential for ensuring stable integration with Adobe Creative Cloud services.

This integration facilitates the secure deployment of Alchemy-powered decentralized applications (dApps) across major cloud platforms like Vercel and Google Cloud Run. It is designed to ensure that sensitive Alchemy API keys are treated as server-side secrets, preventing client-side exposure. Use this when setting up backend services, RPC proxies, or deploying production-grade Web3 applications requiring secure access to blockchain data.

This skill guides the deployment of the Anima design-to-code service as a backend API endpoint. It is essential for building microservices that convert Figma designs into functional code, suitable for internal design tools or production APIs. Supports deployment via Vercel and Google Cloud Run.

This guide outlines critical security best practices for design-to-code pipelines using Anima and Figma. It covers securing API credentials by restricting token scopes (e.g., read-only access for Figma), enforcing server-side execution for SDKs, and implementing robust secret management using cloud services like GCP Secret Manager. This minimizes the risk of credential leakage in CI/CD environments.