Skill UI

A comprehensive reference architecture guide for deploying and managing CAST AI across multiple Kubernetes clusters (Dev, Staging, Prod). It details best practices for infrastructure provisioning using Terraform, focusing heavily on cost optimization techniques such as autoscaling, spot instance management, and environment-specific resource policies. Ideal for setting up team standards and ensuring reliable, cost-effective deployments.

A systematic checklist for launching Attio API integrations into a live production environment. It covers critical best practices for ensuring stability, including robust authentication, advanced error handling (exponential backoff, retries), rate limiting strategies, data integrity checks, health monitoring endpoints, and comprehensive rollback plans. Essential for reliable SaaS deployments.

This guide outlines best practices for configuring and securing Adobe API access across Development, Staging, and Production environments. It details the use of separate Developer Console projects, implementing least-privilege OAuth scopes, and integrating robust secret management solutions (GCP Secret Manager, AWS Secrets Manager, HashiCorp Vault) into CI/CD pipelines for secure, scalable deployments.

A comprehensive checklist guide for deploying Algolia search services to a production environment. It covers critical steps including index configuration (attributes, ranking), securing API keys (admin vs. search-only), setting up replicas for multiple sort orders, implementing monitoring, and defining graceful degradation/fallback mechanisms. Ideal for go-live and major deployments.

This guide outlines security best practices for managing Bright Data zone credentials, API tokens, and webhooks. It covers crucial steps like credential inventory, environment variable security, zone isolation across environments, scheduled credential rotation, and implementing pre-commit hooks to prevent sensitive data leakage, maximizing data security and compliance.

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 skill guides the secure configuration of Figma API access across development, staging, and production environments. It details best practices for managing separate API tokens (PATs), file keys, and cache settings. The focus is on implementing robust environment guards and utilizing secret management solutions to prevent cross-environment data leakage and accidental operations.

This guide details how to configure Grammarly API integration across multiple environments (Development, Staging, and Production). It ensures API credentials are isolated, style guides are managed per tier, and rate limits are respected. It provides setup instructions for mocking, sandbox testing, and robust deployment workflows.

This integration facilitates the deployment of Hex orchestration services to major cloud platforms like Vercel, Google Cloud Run, and Fly.io. It is essential for setting up production environments, managing platform-specific secrets (like API tokens), and automating deployment pipelines for Hex-powered applications.

This comprehensive checklist guides the safe and reliable deployment of Hootsuite integrations and social media automation tools into a live production environment. It covers critical areas such as API key management, rate limit handling, implementing circuit breakers, error resilience (retries, timezones), and establishing robust monitoring alerts. Use this before any major launch or system upgrade to ensure continuous, fail-safe content publishing.

This guide provides a comprehensive strategy for configuring Klaviyo across development, staging, and production environments. It covers best practices for using separate API keys, implementing robust environment detection logic (like reading NODE_ENV), and utilizing secret management solutions (AWS/GCP/Vault). Crucially, it teaches how to implement 'guards' to prevent accidental real-world actions, such as sending live emails or deleting data, in non-production environments, ensuring data integrity and smooth CI/CD deployment.

This skill provides guidelines and mechanics for managing multi-tenant environments within KubeSphere. It focuses on the controlled creation and configuration of core resources—including workspaces, projects, and users—while strictly adhering to least privilege principles. It details the proper use of RBAC roles (Viewer, Regular, Admin) and guides users through the process of setting up organizational boundaries and access controls for secure, scalable deployment.