Skill UI

This skill outlines the systematic process of integrating new data sources (e.g., Firewalls, EDR, Cloud, AD) into a SIEM platform. It covers planning, configuring collectors, building parsers, normalizing data fields (e.g., CIM), and validating data quality to enhance security monitoring and incident detection capabilities.

A comprehensive skill for auditing service accounts across complex enterprise environments, including Active Directory, major cloud platforms (AWS, Azure, GCP), and databases. It identifies risks such as orphaned accounts, over-privileged access, and non-compliant credentials, ensuring adherence to industry standards like SOX, PCI DSS, and HIPAA. Used during security assessments and compliance reviews.

This skill guides the hardening of managed Kubernetes clusters (EKS, AKS, GKE) by implementing critical cloud security best practices. It covers enforcing Pod Security Standards, deploying Network Policies for least privilege communication, and configuring Workload Identity to eliminate static cloud credentials. Ideal for production deployments or remediation after a security audit.

A comprehensive guide to securing serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions). It covers critical security aspects including enforcing least-privilege IAM roles, integrating secrets management, vulnerability scanning of dependencies, input validation, and implementing runtime monitoring for robust DevSecOps practices.

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

Guidance for integrating Firebase Cloud Messaging (FCM) in Flutter apps: setup, permissions, token management, foreground/background handling, and platform-specific behavior.

This tool provides comprehensive automation capabilities for managing cloud infrastructure on the Render platform via Rube MCP. Users can list, filter, and browse various services (web services, static sites, etc.), manually trigger new deployments, and continuously monitor the deployment status (e.g., checking for 'live' status or catching 'build_failed' errors). It is essential for streamlining CI/CD pipelines, managing projects, and ensuring reliable, automated service updates without manual intervention.

Modal is a serverless cloud platform for running Python code on demand, including GPU-accelerated AI/ML workloads. Use for deploying models, serving web APIs, batch processing, and scaling Python applications to cloud containers with automatic scaling from zero to thousands of instances. Supports custom container images, persistent storage, and sub-second cold starts for low-latency inference.

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.

This skill provides comprehensive instructions and code examples for deploying Figma-powered applications, such as webhook receivers and design token APIs, to various production platforms including Vercel, Google Cloud Run, and Fly.io. It covers best practices for secret management, setting up robust webhooks, and implementing health checks to ensure reliable operation in a production environment.

This skill provides instructions for deploying Flexport logistics integrations across various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It is essential for setting up reliable, always-on webhook receivers, shipment tracking dashboards, and background workers necessary for comprehensive supply chain automation services in a production environment.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.