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Found 466 Skills
Design and review container runtime basics for reproducible local/service execution using Docker. Use when container build/run behavior, networking, volumes, and runtime isolation need explicit decisions; do not use for API contract or requirement prioritization tasks.
Convert Docker Compose files or installation docs into production-grade Sealos templates. Use when user has a docker-compose.yml and wants a Sealos or Kubernetes template, wants to migrate from Docker Compose to Sealos, needs to convert container orchestration configs to Sealos format, or mentions compose-to-template conversion. Also triggers on "/docker-to-sealos".
Prepare a research artifact package for conference artifact evaluation, reproducibility review, badges, supplementary material, or post-acceptance artifact release. Use this skill whenever the user needs install instructions, reviewer-facing reproduction commands, Docker or environment checks, data/checkpoint packaging, hardware/runtime estimates, anonymized or public artifact metadata, artifact evaluation forms, or a claim-to-artifact reproducibility audit for ML/AI venues.
Remediate OS and base-image CVEs in Docker-hosted applications. Use for base image candidate discovery, Docker Scout based comparison, Dockerfile updates, and OS remediation reporting.
Especialista em infraestrutura e entrega contínua no SynkOS. Use esta skill quando o usuário pedir para configurar um pipeline de CI/CD, dockerizar um serviço, preparar ou executar um deploy, configurar monitoramento e alertas, auditar infraestrutura, gerenciar secrets e variáveis de ambiente, ou fazer perguntas como "configure o CI para o projeto X", "crie o Dockerfile para Y", "o que verificar antes do deploy?", "como configurar logs e alertas?", "audite a infraestrutura", "valide o ambiente de produção". Ative também para criar documentação de rollback, validar saúde pós-deploy, e garantir que toda mudança de ambiente está versionada como código.
Docker & Hadolint - Atoll Tourisme. Use when working with Docker or containers.
Sets up and manages Postgres using the clickhousectl CLI — runs a local Docker-backed Postgres for development, and creates and operates managed ClickHouse Cloud Postgres services (connections, TLS, runtime config, read replicas, failover, point-in-time restore). Use when the user wants a Postgres or PostgreSQL database for their application, a local Postgres dev environment, psql access, or a managed/production Postgres in ClickHouse Cloud, or mentions moving a local Postgres to production.
Catalyst AppSail — persistent backend PaaS with managed runtimes (Node.js, Java, Python) and custom Docker containers. Trigger on 'AppSail', 'persistent server', 'Docker on Catalyst', 'X_ZOHO_CATALYST_LISTEN_PORT', or 'long-running process on Catalyst'. Do NOT use for stateless request/response handlers, event-driven functions, or scheduled jobs — use catalyst-functions instead.
Deploy Slidev presentations to the web. Use this skill for GitHub Pages, Netlify, Vercel, and Docker deployments.
Complete Docker containerization patterns for development and production workflows
Zero Script QA - Testing methodology without test scripts. Uses structured JSON logging and real-time Docker monitoring for verification. Use proactively when user needs to verify features through log analysis instead of test scripts. Triggers: zero script qa, log-based testing, docker logs, 제로 스크립트 QA, ゼロスクリプトQA, 零脚本QA, QA sin scripts, pruebas basadas en logs, registros de docker, QA sans script, tests basés sur les logs, journaux docker, skriptloses QA, log-basiertes Testen, Docker-Logs, QA senza script, test basati sui log, log docker Do NOT use for: unit testing, static analysis, or projects without Docker setup.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.