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Found 466 Skills
Essential Docker commands and workflows for container management, image operations, and debugging.
Expert-level Docker containerization, image optimization, and container orchestration. Use this skill for building efficient Docker images, managing containers, and implementing Docker best practices.
Securely execute untrusted Python, Node.js, Bun, Deno, and Bash code in sandboxed Docker containers.
Maintains development environment instructions in the project README.md using nixomatic. When the user asks to build, compile, test, lint, format, type-check, run, or set up a project, or when a command fails because a tool or runtime is not installed, analyze project files to determine required packages and use nix develop with a nixomatic.com URL. Ensure the README.md documents how to reproduce the environment with both nix develop and docker run nixos/nix.
Latest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25
Dockerfile 编写最佳实践
Deploys .NET containers. Kubernetes probes, Docker Compose for local dev, CI/CD integration.
Configures Gradle with Spring Boot projects including plugin setup, bootable JAR creation, layered JARs for Docker optimization, and multi-module Spring Boot configurations. Use when asked to "set up Spring Boot with Gradle", "create executable JARs", "configure Docker layering", or "set up Spring Boot microservices".
Create, manage, and execute agent tools (claude, codex) inside Docker sandboxes for isolated code execution. Use when running agent loops, spawning tool subprocesses, or any task requiring process isolation. Triggers on "sandbox", "isolated execution", "docker sandbox", "safe agent execution", or when working on agent loop infrastructure.
Debug Docker containers, fix Dockerfile issues, optimize images, and troubleshoot docker-compose. Use when having Docker problems, container issues, or optimizing Docker builds.
Use when setting up CI/CD, Docker, deployment pipelines, monitoring, alerting, infrastructure, or debugging production issues
Expert knowledge for Azure AI Content Safety development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when using Content Safety APIs, Docker containers, blocklists, custom safety categories, or prompt shield, and other Azure AI Content Safety related development tasks. Not for Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use azure-sentinel), Azure Web Application Firewall (use azure-web-application-firewall).