Skill UI

This skill provides a comprehensive guide and implementation for deploying a containerized Fathom AI meeting service. It is designed to handle the processing of meeting transcripts, summaries, and action items via webhooks. The solution includes Docker setup, environment variable management, robust health checks, and detailed steps for implementing rolling updates, ensuring continuous and reliable meeting data synchronization.

This skill provides a comprehensive guide for deploying a containerized Finta integration service using Docker. It connects to the Finta API to manage critical fundraising data, including tracking fundraising rounds, investor pipelines, and deal flow analytics. The implementation covers environment configuration, health checks, and rolling update strategies, ensuring zero-downtime operation during active fundraising campaigns.

This guide provides a minimal working example for integrating with the Flexport REST API v2. It demonstrates core logistics operations, including listing shipments, retrieving detailed shipment milestones, and listing associated containers. It is ideal for developers starting a new Flexport integration, testing API connectivity, or learning the basic API patterns.

Outlines a comprehensive, fast local development loop for applications hosted on Fly.io. It guides users through testing Docker containers locally, proxying remote services like Postgres and Redis to localhost, configuring dev environments, and performing fast deployment cycles. Essential for modern edge computing development.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.

Skills this deployment guide covers building, configuring, and deploying a containerized Grammarly writing assistant service. It provides detailed instructions for production setup, including Docker configuration, environment variable management (for OAuth credentials), health checks, and zero-downtime rolling updates when integrating Grammarly's Text API for grammar, clarity, and tone checking.

This skill deploys a containerized integration service to programmatically manage and manipulate Lucidchart diagram documents. It handles sophisticated tasks like manipulating shapes, updating connectors, and synchronizing visual collaboration data using the Lucid API. Ideal for integrating automated diagram generation and maintenance into CI/CD pipelines and enterprise workflows.

Facilitates the secure deployment of Adobe-powered applications across multiple modern cloud environments, including Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder. This integration manages complex OAuth credential injection and sets up health monitoring endpoints, making it ideal for moving Adobe API integrations into production systems.

Automate the execution of integration tests against a live ClickHouse database instance within a Continuous Integration (CI) pipeline using Docker containers. This setup eliminates the need for mocks, ensuring thorough schema validation and query reliability in environments mirroring production deployments. Ideal for robust CI/CD setup and schema enforcement.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

This guide provides a deep dive into migrating machine learning workloads, including inference services and training pipelines, from major hyperscalers (AWS, GCP, Azure) to the CoreWeave GPU cloud. It covers cost comparisons, containerization, Kubernetes YAML adaptation, and a phased deployment strategy, helping users ensure a smooth, cost-effective, and optimized transition.

This guide provides comprehensive instructions and code examples for deploying ElevenLabs Text-to-Speech (TTS) applications to various cloud environments, including Vercel (serverless), Fly.io (containers), and Google Cloud Run. It covers best practices for managing platform-specific secrets, configuring timeouts, and implementing real-time streaming audio capabilities for production-grade voice applications.