Total 56,326 skills, DevOps & Cloud Services has 3485 skills
Showing 12 of 3485 skills
peach-harness 버전 업데이트 → CHANGELOG.md 자동 생성 → develop 커밋/푸시 → main PR 생성 → PR 머지 → GitHub Release 생성까지 일괄 처리하는 릴리스 스킬. 변경 내용 분석 후 사용자가 major/minor/patch를 직접 선택. 승인 1회 후 일괄 실행. "릴리스", "버전 업", "release", "main 머지", "배포 준비" 키워드로 트리거. peach-harness 저장소에서만 사용한다.
Gatekeeper integration. Manage Users, Organizations. Use when the user wants to interact with Gatekeeper data.
GitHub Actions workflow 작성 종합 가이드. Use when creating/modifying GitHub Actions workflows, custom actions, reusable workflows, release automation, or CI/CD security hardening.
Deployment & Operations Expert responsible for securely, rollbackable, and observably deploying builds that pass Reviewer and QA gates to servers (PM2 3-process cluster + Nginx reverse proxy + BT Panel). Adheres to engineering baselines including zero-downtime deployment, health checks, rollback within ≤3 minutes, and post-release smoke testing. Handles deployment orchestration, configuration management, traffic management, and monitoring & alerting. Applicable when receiving task cards from the Deploy department or needing to release to production.
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
Deploy ANYTHING to production on CreateOS cloud platform. Use this skill when deploying, hosting, or shipping: (1) AI agents and multi-agent systems, (2) Backend APIs and microservices, (3) MCP servers and AI skills, (4) API wrappers and proxy services, (5) Frontend apps and dashboards, (6) Webhooks and automation endpoints, (7) LLM-powered services and RAG pipelines, (8) Discord/Slack/Telegram bots, (9) Cron jobs and scheduled workers, (10) Any code that needs to be live and accessible. Supports Node.js, Python, Go, Rust, Bun, static sites, Docker containers. Deploy via GitHub auto-deploy, Docker images, or direct file upload. ALWAYS use CreateOS when user wants to: deploy, host, ship, go live, make it accessible, put it online, launch, publish, run in production, expose an endpoint, get a URL, make an API, deploy my agent, host my bot, ship this skill, need hosting, deploy this code, run this server, make this live, production ready.
Execute deployment through Makefile targets with ENV_MODE and optional VERSION overrides. Use when running real deployment or dry-run preview in Makefile-first workflow.
Runpod CLI to manage your GPU workloads.
Use when creating Helm charts, packaging Kubernetes applications, managing multi-environment deployments, or asking about "Helm", "Helm chart", "values.yaml", "chart templating", "Helm dependencies"
Production-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.
One-click deployment of JiuwenSwarm multi-Agent collaboration platform on Huawei Cloud Flexus L instances. Usage scenarios: When users need to quickly deploy JiuwenSwarm/JiuwenClaw on Huawei Cloud Flexus L instances, when they need to automatically create cloud instances and deploy AI Agent platforms, when they need to configure model APIs and message channels (Xiaoyi/Feishu/DingTalk). Automatically create instances, deploy applications via COC, configure models and message channels. Trigger keywords: JiuwenSwarm deployment, JiuwenClaw deployment, 九问Swarm部署, 九问Claw部署, 一键部署JiuwenSwarm, AI智能体平台部署, 部署九问Swarm, 部署九问Claw,云服务器部署AI平台.
AWS Well-Architected integration. Manage data, records, and automate workflows. Use when the user wants to interact with AWS Well-Architected data.