Explorar skills

Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance

Use ao desenvolver, depurar, implantar ou manter qualquer instância ou fork do CTFd. Aborda problemas como questões de stack Docker, desenvolvimento de plugins, erros CSRF 302, personalização de temas, migrações de banco de dados, configuração incorreta de proxy nginx, armadilhas do SQLAlchemy 1.4, infraestrutura de teste pytest ou respostas de API 500.

CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns

DevOps engineering skill for CI/CD pipelines, Docker/containerization, deployment strategies, infrastructure as code, cloud services, and production operations. Use when task involves deploying, containerizing, setting up pipelines, managing infrastructure, or production debugging.

Deployment checklist and setup for NEAN projects targeting Docker, AWS, or Kubernetes.

Run risky or destructive operations inside ephemeral Docker containers for isolation. Use when executing untrusted scripts, destructive Ansible playbooks, or operations that could damage the host.

Deployment readiness check for Docker/Traefik projects. Use when: "deploy check", "deployment check", "ready for deployment", "deploy-check", "before deploy", "production ready".

Fornece a qualquer porta local (Gradio, Streamlit, FastAPI, etc.) uma URL HTTPS permanente em um domínio do usuário, com um único comando e sem necessidade de deploy. Ideal para quando o usuário busca uma URL estável para demos locais ou uma alternativa ao ngrok.

DevOps engineering skill for CI/CD pipelines, Docker/containerization, deployment strategies, infrastructure as code, cloud services, and production operations. Use when task involves deploying, containerizing, setting up pipelines, managing infrastructure, or production debugging.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integr

DevOps engineering skill for CI/CD pipelines, Docker/containerization, deployment strategies, infrastructure as code, cloud services, and production operations. Use when task involves deploying, containerizing, setting up pipelines, managing infrastructure, or production debugging.

Docker best practices including multi-stage builds, compose patterns, image optimization, and security