AI Skills for Docker

Outlines best practices for deployment workflows, CI/CD pipelines, and Docker containerization for production-ready web applications.

Provides best practices for local development using Docker and Docker Compose, focusing on container security, networking, and orchestration.

Facilitates testing of Temporal workflows using pytest, enabling unit, integration, and replay testing for robust workflow validation.

Configures SAST tools for automated vulnerability detection, enhancing security in application code through effective DevSecOps practices.

Creates production-ready GitHub Actions workflows for automated testing, building, and deploying applications efficiently.

Enables tracking of requests across microservices using Jaeger and Tempo for improved performance and observability.

Automates GitLab CI/CD pipelines with multi-stage workflows, caching, and deployment strategies for efficient software delivery.

Configures Prometheus for metric collection and monitoring, enabling effective alerting and infrastructure management.

Creates detailed feature implementation plans for SaaS applications, following Epoch monorepo structure and best practices.

Aspire skill facilitates the orchestration and deployment of distributed applications using a polyglot toolchain and integrated documentation tools.

Provides prompts for analyzing and executing .NET framework upgrades, ensuring compatibility and modernizing code effectively.

Creates optimized multi-stage Dockerfiles for efficient, secure container images across various languages and frameworks.

Creates a Spring Boot Java project skeleton with Docker, PostgreSQL, and MongoDB configurations for efficient development.

Creates high-level technical architecture specifications for software epics, guiding development with detailed component and feature outlines.

Facilitates the containerization of ASP.NET .NET Framework projects by generating customized Dockerfiles for Windows environments.

Facilitates the containerization of ASP.NET Core projects by generating customized Dockerfiles for optimized deployment.

Creates a Spring Boot Kotlin project skeleton with Docker support and configurations for PostgreSQL, MongoDB, and Redis.

Enables the creation of AI agents that interact with computers like humans, focusing on security and automation through vision-based control.

Facilitates training of large language models using NVIDIA Megatron-Core with advanced parallelism for optimal GPU efficiency.

Guides enterprise-grade reinforcement learning training using miles for large MoE models, optimizing for low-precision and throughput.