Skill UI

This comprehensive guide assists in deploying the Persona identity verification service to various cloud platforms. It covers essential development practices, including Dockerfile generation, secrets management, and implementing robust health checks. Use this skill when integrating KYC or identity verification processes into a cloud-native application.

This guide helps determine the optimal deployment strategy for Qdrant, a vector database. It compares four main options—Local Mode, Self-Hosted (Docker), Qdrant Cloud (Zero-Ops), and Qdrant EDGE—based on project requirements such as control needs, operational overhead, data residency, and required latency. Use it to decide whether to prototype, manage full infrastructure, or prioritize minimal latency.

A powerful command-line interface (CLI) tool, modeled after kubectl/docker, designed for comprehensive management of GPU compute jobs on the Qizhi platform. It supports job submission (interactive/non-interactive), resource discovery, node availability checking, and batch processing for distributed training and HPC workloads. Ideal for machine learning engineers and data scientists running large-scale scientific computations.

This skill provides a production-grade, containerized integration service for connecting to the Together AI platform. It facilitates high-performance inference, fine-tuning, and model deployment across over 100 open-source models using Together's OpenAI-compatible API. Includes comprehensive Docker setup, environment variable management, health checks, and zero-downtime rolling update strategies for robust, real-time LLM serving.

This skill provides high-performance, real-time object detection using the Intel OpenVINO runtime. It operates via a Docker container, ensuring cross-platform compatibility. Supports detection across various Intel accelerators (NCS2, iGPU, Arc GPU) and CPUs. Users can customize parameters like confidence threshold, target classes, processing FPS, and model precision to optimize performance for specific hardware and accuracy needs.

Manage global n8n instances, runtime state, tunnels, API keys, credentials, projects, and workflow presentation links. Useful for setting up local Docker, connecting remote instances, and controlling n8n execution environments.

A comprehensive guide covering expert techniques for breaking out of container isolation. This playbook details methods for exploiting privileged modes, abusing cgroups, manipulating namespaces, and leveraging vulnerabilities in Docker or Kubernetes environments. Essential for advanced security research and penetration testing.

A comprehensive playbook detailing expert techniques to escape multiple types of restricted environments, including Python pyjail, Docker containers, seccomp filters, and browser rendering processes. It covers advanced exploitation vectors like namespace escapes, kernel exploits, and built-in function bypasses for achieving code execution.

Pi-hole is a powerful, network-wide DNS ad blocker solution that runs on Linux hosts (like Raspberry Pi). It automatically blocks ads, trackers, and malware domains for every device on your network without requiring browser extensions. This guide details installation via Docker or bare-metal setup, configuring it as the primary DNS server for a home network, managing blocklists, and implementing advanced features like DNS-over-HTTPS (DoH) for enhanced privacy.

A comprehensive reference for the `uc` CLI, designed for managing decentralized, self-hosted clusters. Use this skill to deploy services via Docker Compose, configure advanced networking, and manage infrastructure components like machines, volumes, and ports. Supports Caddy ingress routing, WireGuard networking, and scaling across peer machines, making it ideal for robust, highly available self-hosting environments.

A comprehensive guide for securing container images and runtime environments. Covers best practices from Dockerfile authoring (minimal base images, multi-stage builds, non-root users) through advanced runtime enforcement (seccomp, AppArmor) and Kubernetes security controls. Essential for production hardening and maintaining supply chain integrity.

Nextflow is a powerful workflow language and runtime for building reproducible, portable, and scalable data pipelines, especially dominant in bioinformatics. This skill covers the entire workflow lifecycle: from authoring complex pipelines using the modern DSL2 syntax, to configuring containerized execution (Docker, Singularity), scaling to High-Performance Computing (HPC) or cloud environments, and running/debugging existing nf-core workflows.