DevOps & Cloud

Local text-to-speech via sherpa-onnx (offline, no cloud)

Feishu cloud-storage and comment workflows. Activate when the user mentions cloud space, folders, Drive files, or document comments.

Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.

Author OpenClaw Docker E2E and live provider Docker lanes.

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions monitoring, permissions, gates, and manual backfills.

Deploy a temporary n8n test instance (or generate a local docker run command) via the internal "Nathan" bot, from the repo instead of Slack. Use after opening a PR to offer the user a live test instance, or whenever someone asks to spin up / deploy a test instance for a branch.

用于本地开发的Docker和Docker Compose模式，包括容器安全、网络、卷策略和多服务编排。

部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单。

Yerel geliştirme, konteyner güvenliği, ağ, volume stratejileri ve multi-servis orkestrasyon için Docker ve Docker Compose kalıpları.

Deployment iş akışları, CI/CD pipeline kalıpları, Docker konteynerizasyonu, sağlık kontrolleri, rollback stratejileri ve web uygulamaları için üretim hazırlığı kontrol listeleri.

RFC駆動の複数エージェントDAG実行パターン、品質ゲート、マージキュー、ワークユニットオーケストレーション。

オープンソースパイプライン: プライベートプロジェクトをフォーク、サニタイズし、安全な公開リリースのためにパッケージ化する。3つのエージェント（フォーカー、サニタイザー、パッケージャー）を連鎖させる。トリガー: '/opensource'、'open source this'、'make this public'、'prepare for open source'。

Docker イメージの構築、最適化、マルチステージビルド、ネットワーク、ボリューム管理。本番環境デプロイメント用のベストプラクティス。

Kubernetes、Docker、Vercel、クラウドプロバイダーにおけるデプロイメントパターンと戦略。ブルーグリーン、カナリア、ローリングデプロイメント、ゼロダウンタイムアップグレード。

Patrones de Docker y Docker Compose para desarrollo local, seguridad de contenedores, networking, estrategias de volúmenes y orquestación de múltiples servicios.

Flujos de trabajo de despliegue, patrones de pipeline CI/CD, contenedorización Docker, health checks, estrategias de rollback y listas de verificación de preparación para producción de aplicaciones web.

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration. Use when setting up containerized development environments or reviewing Docker configurations.

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.

Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

Configure deployment settings for /land-and-deploy.

Land and deploy workflow. (gstack)

Post-deploy canary monitoring. (gstack)

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, viewer, prototype, report, or static site without here.now.

Create and edit PowerPoint presentations from scratch with PptxGenJS — MiniMax's production-tested deck pipeline.

Use this plugin when the user wants to deploy an accepted static web artifact to Vercel or prepare an equivalent deployment handoff with preview and production URLs.

Default reference pipeline for the tune-collab taskKind — pick a direction, patch-edit the existing artifact, critique, hand off.

Default reference pipeline for the new-generation taskKind — discovery → plan → generate → critique with a critique-theater devloop.

Default reference pipeline for image, video, and audio projects — routes through media-image / media-video / media-audio atoms based on the project kind, wraps the output in a live artifact, and devloops on critique-theater until the score converges.

A real-time particle galaxy — tens of thousands of additive-blended GPU points spiraling around a bright core, their orbits solved entirely in the vertex shader (from gl_VertexID), so the whole cloud draws in one call. Rendered as a single self-contained `index.html`. Use when the brief asks for a "particle field", "particle galaxy", "point cloud", "instanced points", "starfield", "GPU particles", or a swirling generative point system. OpenDesign serves this in powered-preview mode so the GPU stack actually runs.

OpenDesign vs closed cloud design tools: a side-by-side displacement case on control, cost (BYOK), and lock-in. Built as a decision-grade B2B sales deck for evaluation committee.

Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Authorized cloud, container, and Kubernetes security assessment: metadata SSRF, IAM misconfiguration, container escape paths, and cluster RBAC review.

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design and implement automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

Common AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.

Master of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts.

Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.

Real-time messaging with WebSocket connections and pub/sub patterns.

Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues.

Azure Queue Storage library for Rust. Send, receive, and manage queue messages. Triggers: "queue storage rust", "QueueClient rust", "send message rust", "receive messages rust", "QueueServiceClient rust", "queue rust".

Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.

Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations.

Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.