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Found 50 Skills
Docker containerization patterns for Python/React projects. Use when creating or modifying Dockerfiles, optimizing image size, setting up Docker Compose for local development, or hardening container security. Covers multi-stage builds for Python (python:3.12-slim) and React (node:20-alpine -> nginx:alpine), layer optimization, .dockerignore, non-root user, security scanning with Trivy, Docker Compose for dev (backend + frontend + PostgreSQL + Redis), and image tagging strategy. Does NOT cover deployment orchestration (use deployment-pipeline).
Docker 容器化配置指南
A comprehensive guide for using Testcontainers for Go to write reliable integration tests with Docker containers in Go projects. Supports 62+ pre-configured modules for databases, message queues, cloud services, and more.
Build ASP.NET Core Web APIs with .NET 10 (C# 14.0). Supports project scaffolding, CRUD operations, Entity Framework integration, dependency injection, testing with xUnit, Docker containerization, and following 2025 best practices. Use when creating REST APIs, microservices, backend services, implementing CRUD operations, setting up Entity Framework, adding authentication/authorization, or containerizing .NET applications. Triggers on .NET, ASP.NET Core, C#, Web API, REST API, microservices, dotnet, csharp development tasks.
CI/CD pipelines, deployment strategy, and infrastructure. Use when setting up GitHub Actions workflows, choosing deployment platforms, configuring production environments, securing pipelines with OIDC, optimizing build performance, building container images, measuring DORA metrics, or setting up Docker multi-stage builds.
Performs gap analysis on NVIDIA TAO Visual ChangeNet (VCN) Classify experiments by invoking the data-services container (`tao_toolkit.data_services` from `versions.yaml`) directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, auditing PASS/NO_PASS boundary cases, or running DEFT gap analysis on an AOI ChangeNet model.
Docker containerization for development and production. Covers Dockerfiles, multi-stage builds, layer caching, Compose services, networking, volumes, health checks, security hardening, and production deployment patterns. Use when writing Dockerfiles, optimizing image size, configuring Compose services, debugging container networking, setting up health checks, hardening containers for production, or troubleshooting build cache issues.
Executes comprehensive health checks and generates status reports for network infrastructure services. Verifies Docker containers, validates Caddy reverse proxy, checks Pi-hole DNS, confirms Cloudflare Tunnel connectivity, and validates SSL certificates. Use when verifying infrastructure status, diagnosing connectivity issues, checking service health, or troubleshooting network problems. Triggers on "check health", "infrastructure status", "is everything running", "diagnose network", "service health", or "verify SSL".
Publish and deploy C# MCP servers. Covers NuGet packaging for stdio servers, Docker containerization for HTTP servers, Azure Container Apps and App Service deployment, and publishing to the official MCP Registry. USE FOR: packaging stdio MCP servers as NuGet tools, creating Dockerfiles for HTTP MCP servers, deploying to Azure Container Apps or App Service, publishing to the MCP Registry at registry.modelcontextprotocol.io, configuring server.json for MCP package metadata, setting up CI/CD for MCP server publishing. DO NOT USE FOR: publishing general NuGet libraries (not MCP-specific), general Docker guidance unrelated to MCP, creating new servers (use mcp-csharp-create), debugging (use mcp-csharp-debug), writing tests (use mcp-csharp-test).
Expert helper for Docker containers, Docker Compose, and container optimization
Expert-level Docker containerization, image optimization, and container orchestration. Use this skill for building efficient Docker images, managing containers, and implementing Docker best practices.
Prompt for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.