Skill UI

A collection of production-ready client implementation patterns for interacting with the Clari v4 API, provided in both Python and TypeScript. This guide covers essential functionalities like listing and exporting forecast data, implementing job polling, and managing complex data transformation pipelines, ensuring reliable and reusable integration for development teams.

A comprehensive guide on deploying applications connected to ClickHouse Cloud across various modern cloud environments, including Vercel, Fly.io, and Google Cloud Run. This guide covers best practices for connection pooling, secure secret management, implementing health checks, and ensuring graceful shutdowns in serverless and containerized setups.

Provides comprehensive guides and code examples for deploying ClickUp-powered applications to various cloud environments like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, API token handling, setting up health checks, and processing webhooks, ensuring robust and scalable SaaS integrations.

Provides comprehensive guides on setting up ClickUp API v2 authentication. Learn how to implement both Personal API Tokens (for server-side use) and OAuth 2.0 (for multi-user applications). This skill covers secure credential management, making authenticated HTTP requests, and handling common API error codes, ensuring robust integration development.

This setup provides a comprehensive local development workflow for integrating with the ClickUp API v2. It includes mock services, unit tests, and live integration testing, enabling developers to build and test ClickUp features efficiently with hot reloading and reliable API mocking, minimizing reliance on live credentials during development.

A comprehensive, production-ready patterns library for interacting with the ClickUp API v2. It provides typed wrappers, robust error handling, rate limit management, and implements singleton/multi-tenant support, making complex ClickUp integrations reliable and scalable in TypeScript projects.

This guide provides a comprehensive architectural pattern (Adapter Pattern) for migrating code between different versions of the ClickUp API (v2 to v3). It addresses breaking changes, endpoint structural shifts, and terminology changes (e.g., 'Team' vs 'Workspace'), ensuring smooth and robust integration during large-scale platform upgrades.

A comprehensive guide to creating, managing, and processing ClickUp webhooks. Learn how to set up real-time HTTP POST notifications for resource changes (tasks, lists, spaces). This is essential for implementing two-way synchronization, building external automation workflows, and processing detailed event payloads for seamless system integration.

Automates comprehensive regression testing for all enabled cloud Large Language Model (LLM) providers. This includes verifying core connectivity, standard chat completion, structured JSON output, and Server-Sent Events (SSE) streaming capabilities. Essential for ensuring the reliability and stability of multi-cloud AI integrations in a CI/CD pipeline.

A comprehensive guide providing minimal working examples for core Cohere API v2 endpoints, including Chat completion, text embedding, and search reranking. This resource details basic setup, usage patterns, and includes runnable code examples in both TypeScript and Python, making it perfect for new AI integrations or learning advanced LLM functionality.

Automate the entire deployment lifecycle for ML inference services on CoreWeave GPU cloud. This workflow integrates unit testing, container image building (to GHCR), and rolling deployment to CoreWeave Kubernetes clusters via GitHub Actions. Ideal for ensuring stable, high-performance deployment of GPU-dependent models. Key features include validating GPU manifest requests and managing deployments using standard Kubernetes APIs.

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.