Skill UI

This skill outlines how to implement and manage Role-Based Access Control (RBAC) and namespace isolation for multi-team GPU workloads running on CoreWeave's Kubernetes platform. It provides guidance on setting strict resource quotas, preventing noisy-neighbor issues, and defining granular roles (e.g., ML Engineer, Inference Operator). This is essential for maintaining resource isolation, ensuring compliance (SOC 2, HIPAA), and managing access across large-scale cloud deployments.

This guide details setting up and managing CoreWeave GPU cloud infrastructure across Development, Staging, and Production environments. It ensures strict resource separation using dedicated Kubernetes namespaces for GPU quotas and scaling policies. Use this when deploying complex ML/AI workloads requiring robust environment isolation and controlled promotion workflows.

This skill provides comprehensive observability for CoreWeave's GPU-intensive workloads running on Kubernetes. It monitors critical operational metrics, including GPU utilization, memory usage, inference latency (p99), and job completion rates. Use it for setting up DCGM metrics dashboards, configuring proactive alerts for underutilization or Out-Of-Memory (OOM) conditions, and ensuring high reliability for AI/ML deployments.

A comprehensive checklist for ensuring GPU workloads, such as inference services or model training pipelines, are fully prepared for production deployment on CoreWeave. It covers critical MLOps and DevOps aspects including autoscaling, resource limits, security policies, persistent storage validation, monitoring setup, and rollback procedures.

Provides comprehensive guidelines for securing CoreWeave cloud deployments on Kubernetes. Covers critical security areas including credential management, implementing Role-Based Access Control (RBAC), enforcing network isolation policies, and handling sensitive secrets for ML model access. Essential for hardening GPU workloads and protecting data in cloud environments.

This comprehensive guide outlines essential security protocols for integrating with the Figma API. It covers best practices including securely storing Personal Access Tokens (PATs), implementing least-privilege scopes, managing token rotation lifecycles, and verifying incoming webhook payloads. Use this when setting up, auditing, or maintaining production-grade Figma integrations to ensure data integrity and prevent unauthorized access.

Learn how to implement and handle Figma Webhooks V2 for real-time integrations. This guide covers setting up the webhook endpoint, processing various event types (like file updates, comments, and library publishes), verifying payloads using passcodes, and implementing best practices such as idempotency for robust, event-driven automation workflows.

This guide provides best practices for optimizing HubSpot integration costs and performance. Learn to manage API call volume by implementing batch reads, using server-side search filters, and leveraging webhooks instead of continuous polling. It covers crucial concepts like rate limit monitoring and caching to prevent 'Too Many Requests' errors (429), ensuring stable and cost-effective development.

A comprehensive guide detailing security best practices for integrating with Klaviyo. Learn how to manage private and public API keys, implement least-privilege scoping for different environments (Dev, Staging, Prod), and critically, how to verify webhook payloads using HMAC-SHA256 signatures. This guide is essential for developers building robust and secure marketing automation pipelines.

A comprehensive checklist designed to harden Linktree API integrations for high-concurrency, production-grade reliability. It covers critical aspects including secure secrets management, rate limit handling, robust error resilience (circuit breakers, exponential backoff), comprehensive monitoring setup, and advanced security practices like webhook signature verification. Use this guide to ensure link-in-bio analytics remain accurate and system uptime is maximized under viral traffic loads.

This comprehensive guide assists developers migrating their Miro integrations from REST API v1 to v2. It details key breaking changes, such as 'Widget' becoming 'Item' and 'Line' becoming 'Connector,' provides updated endpoint maps, and offers step-by-step instructions for upgrading the `@mirohq/miro-api` SDK and adapting request/response payloads. Use this resource when updating your integration to handle the latest Miro platform standards and data structures.

Use this comprehensive bundle to systematically collect diagnostic data from Navan API integrations. It captures critical information including OAuth token details, full API request/response payloads, network connectivity metrics, and local environment state. This tool is essential for developers and integrators needing to perform deep troubleshooting and pinpoint complex API failures.