Skill UI

This guide provides a comprehensive, step-by-step process to scaffold a modern Spring Boot application using Kotlin. It covers downloading the template, configuring dependencies (including SpringDoc and ArchUnit), and setting up complex polyglot environments using Docker Compose. Supports PostgreSQL, MongoDB, Redis, and WebFlux reactive programming.

This comprehensive guide provides a complete, step-by-step workflow for setting up a modern Spring Boot Java project from scratch. It covers downloading the project template, configuring multiple data sources (PostgreSQL, Redis, MongoDB), integrating API documentation (SpringDoc), and orchestrating a full, containerized service environment using Docker Compose. Ideal for complex, enterprise-level application development.

Provides a comprehensive setup guide for running ClickHouse locally using Docker Compose. This includes defining the database schema, seeding mock data, and setting up robust integration tests (using vitest). Ideal for developers building OLAP systems or performing local data analysis to ensure schema and query reliability.

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 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.

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

A comprehensive guide to best practices for using Docker and Docker Compose. It covers setting up standard web stacks for local development, designing multi-container architectures, secure Dockerfile practices (multi-stage builds, non-root users), advanced networking strategies, and volume management for persistence. Essential for migrating to robust, containerized workflows.

Define and run multi-container Docker applications using declarative YAML configuration. Ideal for local development, setting up environments, managing service dependencies, and creating reproducible setups. Supports networking, volumes, and resource limits.

Advanced Docker containerization expert with comprehensive knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies. Provides practical guidance for Dockerfiles, Compose, and container security best practices.

Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized log aggregation, analysis, and visualization. Includes Docker Compose setup, index templates, lifecycle management, Logstash pipelines, Filebeat configuration, and Elasticsearch queries.

This skill provides a complete production-ready Docker setup for Odoo ERP. It includes PostgreSQL database configuration, persistent volume management, environment variable handling, and optional Nginx reverse proxy with SSL support. Suitable for local development, VPS deployment, and troubleshooting container issues. Covers docker-compose.yml generation and odoo.conf tuning for optimal performance.

Deploy a local LLM stack with Ollama, Open WebUI, and LiteLLM for offline, privacy-first AI workloads. Covers installation, model selection, Docker Compose setup, API usage, and custom Modelfiles for development environments.