devops
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud…
Skill by vibery-studio
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vibery-studio-devops
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: devops, cloud
Reviews
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What's inside
- Skill name
devops- Description
- Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
- License
- MIT
- Instructions
- 298 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Agent Skills spec issues
- files: referenced but missing: scripts/cloudflare-deploy.py, scripts/docker-optimize.py
Files (19)
- .env.example
- SKILL.md
- browser-rendering.md · references/
- cloudflare-d1-kv.md · references/
- cloudflare-platform.md · references/
- cloudflare-r2-storage.md · references/
- cloudflare-workers-advanced.md · references/
- cloudflare-workers-apis.md · references/
- cloudflare-workers-basics.md · references/
- docker-basics.md · references/
- docker-compose.md · references/
- gcloud-platform.md · references/
- gcloud-services.md · references/
- cloudflare_deploy.py · scripts/
- docker_optimize.py · scripts/
- requirements.txt · scripts/
- requirements.txt · scripts/tests/
- test_cloudflare_deploy.py · scripts/tests/
- test_docker_optimize.py · scripts/tests/
SKILL.md (first lines)
# DevOps Skill Comprehensive guide for deploying and managing cloud infrastructure across Cloudflare edge platform, Docker containerization, and Google Cloud Platform. ## When to Use This Skill Use this skill when: - Deploying serverless applications to Cloudflare Workers - Containerizing applications with Docker - Managing Google Cloud infrastructure with gcloud CLI - Setting up CI/CD pipelines across platforms - Optimizing cloud infrastructure costs - Implementing multi-region deployments - Building edge-first architectures - Managing container orchestration with Kubernetes - Configuring cloud storage solutions (R2, Cloud Storage) - Automating infrastructure with scripts and IaC ## Platform Selection Guide ### When to Use Cloudflare **Best For:** - Edge-first applications with global distribution - Ultra-low latency requirements (<50ms) - Static sites with serverless functions - Zero egress cost scenarios (R2 storage) - WebSocket/real-time applications (Durable Objects) - AI/ML at the edge (Workers AI) **Key Products:** - Workers (serverless functions) - R2 (object storage, S3-compatible) - D1 (SQLite database with global replication) - KV (key-value store) - Pages (static hosting + functions) - Durable Objects (stateful compute) - Browser Rendering (headless browser automation) **Cost Profile:** Pay-per-request, generous free tier, zero egress fees ### When to Use Docker **Best For:** - Local development consistency - Microservices architectures - Multi-language stack applications - Traditional VPS/VM deployments - Kubernetes orchestration - CI/CD build environments - Database containerization (dev/test) **Key Capabilities:** - Application isolation and portability - Multi-stage builds for optimization - Docker Compose for multi-container apps - Volume management for data persistence - Network configuration and service discovery - Cross-platform compatibility (amd64, arm64) **Cost Profile:** Infrastructure cost only (compute + storage) ### When to Use Google Cloud **Best For:** - Enterprise-scale applications - Data analytics and ML pipelines (BigQuery, Vertex AI) - Hybrid/multi-cloud deployments - Kubernetes at scale (GKE) - Managed databases (Cloud SQL, Firestore, Spanner) - Complex IAM and compliance requirements **Key Services:** - Compute Engine (VMs) - GKE (managed Kubernetes) - Cloud Run (containerized serverless) - App Engine (PaaS) - Cloud Storage (object storage) - Cloud SQL (managed databases) **Cost Profile:** Varied pricing, sustained use discounts, committed use contracts ## Quick Start ### Cloudflare Workers ```bash # Install Wrangler CLI npm install -g wrangler # Create and deploy Worker wrangler init my-worker cd my-worker wrangler deploy ``` See: `references/cloudflare-workers-basics.md` ### Docker Container ```bash # Create Dockerfile cat > Dockerfile <<EOF FROM node:20-alpine WORKDIR /app COPY package*.json ./ RUN npm ci --production COPY . . EXPOSE 3000 CMD ["node", "server.js"] EOF
From vibery-studio/templates, MIT.
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Signals
- Stars
- 3
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Dec 31, 2025 (10 months ago)
- Last release
- Mar 3, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vibery-studio/templates
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Guide users through a structured workflow for co-authoring documentation.
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Cite this page
devops skill. Agent Mart. https://agentmart.dev/skills/vibery-studio-devops (last updated 2026-10-24)