Skill UI

A comprehensive guide featuring best practices and patterns for building robust GitLab CI/CD pipelines. Covers multi-stage deployments, containerization (Docker), infrastructure as code (Terraform), security scanning, caching strategies, and advanced GitOps workflows for automated testing and deployment to Kubernetes.

A comprehensive guide for deploying complex integrations to production cloud environments (GCP, Kubernetes). This skill covers best practices including creating multi-stage Dockerfiles, implementing robust health and readiness checks, and utilizing cloud tools like gcloud and kubectl for seamless, secure deployment with secret management.

A comprehensive guide for digital forensics professionals to investigate compromised Docker containers. It covers best practices for preserving container state, analyzing image layers, reviewing runtime logs, and examining host system artifacts to identify evidence of malicious activity, container escapes, or misconfigurations.

This guide provides comprehensive steps to harden Docker containers and associated runtime environments based on the CIS Docker Benchmark v1.8.0. It covers implementing least-privilege principles, such as running as non-root users, dropping capabilities, using read-only filesystems, and applying seccomp/AppArmor profiles. Use this when preparing containers for production deployment or conducting security audits to minimize the attack surface.

This guide details how to harden the Docker daemon (dockerd) configuration by modifying /etc/docker/daemon.json. It implements critical security controls such as user namespace remapping, disabling inter-container communication (ICC), enforcing no-new-privileges, and configuring secure TLS client authentication. Use this method to prevent container breakout, privilege escalation, and lateral movement, ensuring compliance with standards like CIS benchmarks.

This tool automates the security audit of Docker environments using the open-source CIS Docker Benchmark. It assesses host configuration, daemon settings, container images, and runtime controls, generating a comprehensive pass/fail/warn compliance report. It is essential for ensuring CIS compliance, validating security hardening, and automating scheduled container security testing.

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.

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 provides advanced integration for deploying applications on Fly.io, focusing on edge computing architectures. It covers building production-ready Docker images, configuring `fly.toml` for services and health checks, and executing sophisticated deployment strategies like blue-green and canary releases. It ensures reliable, scalable deployment across multiple regions, including automated rollbacks and micro-VM optimization.

Provides a comprehensive, production-ready deployment solution for OneNote integrations in containerized environments. This skill addresses critical issues like MSAL token persistence (supporting both file and Redis caches), implementing deep health/readiness checks that validate actual Graph API connectivity, and managing graceful shutdowns. Ideal for containerizing OneNote services for robust, scalable production use with Docker and Kubernetes.

This guide provides comprehensive best practices for configuring Palantir Foundry integrations across development, staging, and production environments. It details how to manage environment-specific credentials, hostnames, and scope policies using structured Python code and platform-specific deployment manifests (Docker Compose, Kubernetes, gcloud). Use this skill when implementing resilient, multi-tier SaaS deployments that require strict credential and configuration separation.

A powerful, kubectl/docker-style CLI tool designed to manage and submit distributed computing jobs on the Qizhi (启智) platform. Use it for tasks like logging in, checking resource availability, discovering workspaces, and submitting complex GPU, CPU, or batch jobs efficiently.