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This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

A comprehensive guide for diagnosing difficult and intermittent Vercel deployment issues. Covers advanced topics such as cold start analysis, edge function crashes, region-specific behavior isolation, function bundle optimization, and concurrency throttling. Use this when standard logging fails and systematic, deep-dive debugging is required for production stability.

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

This skill guides users through implementing comprehensive security measures for Vercel deployments. It covers best practices for secret management (using sensitive environment variables), configuring critical HTTP security headers (such as CSP and HSTS), protecting preview environments, and enforcing robust access control for API routes and deployment tokens.

This skill thoroughly inspects and validates Vertex AI Agent Engine deployments. It assesses critical components such as the Code Execution Sandbox, Memory Bank, A2A protocol compliance, security posture, and performance metrics. The tool generates weighted production-readiness scores (0-100%) and provides detailed, actionable recommendations to ensure the deployment is robust, secure, and ready for production use.

Automated help for data analytics visualization best practices, offering step-by-step guidance, industry patterns, production-ready code, and validation for dashboards and reports.

This comprehensive guide outlines the core principles for developing immersive Virtual and Augmented Reality (VR/AR) applications. It covers critical aspects such as platform selection (Quest, ARKit, ARCore), mandatory performance metrics (FPS, frame budget), user comfort techniques (motion sickness prevention), and best practices for spatial interaction and world design. Essential reading for engineers building next-generation spatial computing experiences.

Auto-activating skill that guides analytics teams through designing and validating window function generator workflows and SQL patterns.

A comprehensive guide for deploying and optimizing the Windsurf AI IDE across large, complex organizations (50+ developers). Covers critical enterprise topics including monorepo partitioning strategies, managing workspace performance degradation, central configuration distribution, credit budgeting models, and necessary network/IT infrastructure whitelisting for seamless large-scale adoption.

Monitor the adoption, feature usage, and overall Return on Investment (ROI) of AI tools like Windsurf. This skill provides comprehensive analytics, including daily active users, completion acceptance rates, and estimated time saved. It allows teams to set up usage alerts, identify underutilized seats, and build custom extensions to measure deep usage patterns, ensuring maximum team efficiency and quantifying AI impact.

A comprehensive guide to securing development workspaces using Windsurf. This skill teaches how to apply best practices for workspace isolation, prevent sensitive data (secrets, PII) from leaking into AI indexes, manage telemetry, and ensure compliance by configuring exclusion files and security rules.

This skill provides comprehensive analytics for Windsurf deployments, allowing teams to track AI feature adoption, measure productivity gains, calculate Return on Investment (ROI), and identify key areas for optimization. Use this when analyzing team usage patterns, generating usage reports, or conducting ROI assessments for AI tools.