Skill UI

This skill provides comprehensive deployment scaffolding for Miro REST API v2 integrations. It manages the entire lifecycle, including setting up OAuth 2.0 authentication, handling incoming webhooks, and ensuring continuous health monitoring. It supports deployment across major cloud platforms like Vercel, Fly.io, and Google Cloud Run, simplifying complex multi-environment SaaS application setups.

A comprehensive checklist for deploying Miro REST API v2 integrations into a production environment. This guide covers critical best practices including OAuth scope minimization, robust error handling, rate limit management, implementing circuit breakers, health checking, and defining clear rollback procedures. Use this when moving any Miro-integrated application to a live, customer-facing state.

A comprehensive checklist for validating the operational readiness of any Navan API integration before deployment to a live production environment. This guide covers critical areas including credential security (rotation, secret management), robust error handling, rate limit strategies, Single Sign-On (SSO) setup, data synchronization, and compliance auditing (PCI DSS, GDPR). Use this when ensuring mission-critical API stability.

A comprehensive skill for deploying production-ready Node.js applications that utilize the Notion API to serverless platforms like Vercel, Railway, or Fly.io. This guide implements critical best practices including Notion client singletons for serverless environments, robust rate limit handling (3 req/sec), response caching strategies, and essential health check endpoints to ensure stability and scalability in production.

This guide details how to securely configure Notion integrations for separate development, staging, and production environments. It emphasizes using environment-aware client factories, dedicated tokens, and integrating with robust secret managers (AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault) to ensure strict data isolation and adhere to least-privilege principles across all deployment tiers.

This comprehensive skill provides a structured, actionable checklist for verifying and auditing Notion API integrations before they go live in a production environment. It covers critical areas such as environment variable security, least-privilege capability scoping, robust rate limit handling, data pagination, and comprehensive error management. Use this checklist during go-live preparation, system audits, or major feature deployments to ensure the integration is secure, stable, and fully functional.

A comprehensive go/no-go checklist for deploying OneNote integrations using the Microsoft Graph API. It covers critical production failure points, including advanced authentication resilience (token caching, silent renewal), rate limit handling (exponential backoff, tenant-level tracking), and explicit error code management for robust deployment. Essential for launch reviews.

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.

This skill provides comprehensive functionality for provisioning, managing, and scaling Oracle Cloud Infrastructure (OCI) compute instances using the Python SDK. It addresses common challenges like "out of host capacity" errors by implementing robust retry logic across multiple Availability Domains (ADs). Users can select optimal Flex shapes (AMD, ARM, Intel), manage the entire instance lifecycle (start, stop, reboot, terminate), and retrieve network details, ensuring reliable cloud workload deployment.

This skill provides a comprehensive solution for deploying containerized applications to Oracle Cloud Infrastructure (OCI). It supports two primary deployment paths: OKE (Oracle Kubernetes Engine) for full Kubernetes orchestration, and Container Instances for a simpler, serverless alternative. Use this skill for automating the entire lifecycle, including pushing images to OCIR, provisioning OKE clusters via Python SDK, and executing Kubernetes deployments using kubectl.

A comprehensive guide to launching, listing, and managing Oracle Cloud Infrastructure (OCI) compute instances using Python. This guide specifically addresses the common 'Out of host capacity' error when using Always Free ARM shapes, implementing a robust retry loop to ensure successful deployment. Users can learn the full lifecycle management, from initial connection setup to instance state polling.

This skill addresses the challenge of managing Dev/Staging/Prod separation in OCI without native account separation. It uses Python to centralize configuration profiles, compartment IDs, and implements safety guardrails (like blocking destructive actions in production) to prevent accidental cross-environment deployments, ensuring repeatable and secure cloud workflows.