mcpbeat Sign in

Cloudflare Agent Skill

Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to Cloudflare Workers via the Deploy API. Use when deploying, publishing, going live, pushing to production, or hosting on the edge.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
134
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/popmechanic/VibesOS --skill cloudflare

The instruction itself

9 sections, as written by the author

> Plan mode: If you are planning work, this entire skill is ONE plan step: "Invoke /vibes:cloudflare". Do not decompose the steps below into separate plan tasks.

  ╔═══════════════════════════════════════════════╗
  ║   ☁️  CLOUDFLARE WORKERS DEPLOY               ║
  ║   Deploy API · Pocket ID · Edge Functions      ║
  ╚═══════════════════════════════════════════════╝

Deploy to Cloudflare

Deploy your Vibes app to Cloudflare Workers via the Deploy API.

Prerequisites

  • Assembled HTML file (from /vibes:vibes or /vibes:factory)
  • Vibes account (browser login on first deploy)

No Cloudflare account or wrangler CLI needed — the Deploy API handles infrastructure.

Quick Deploy

VIBES_ROOT="${CLAUDE_PLUGIN_ROOT:-$(dirname "$(dirname "${CLAUDE_SKILL_DIR}")")}"
bun "$VIBES_ROOT/scripts/deploy-cloudflare.js" --name myapp --file index.html

On first run, a browser window opens for Pocket ID authentication. Tokens are cached for subsequent deploys.

Static Assets: Place images, fonts, or other static files in an assets/ directory next to the app file. The deploy script auto-discovers and includes them (binary files are base64-encoded). Reference in code with absolute paths like /assets/logo.png.

Deploy with AI enabled

VIBES_ROOT="${CLAUDE_PLUGIN_ROOT:-$(dirname "$(dirname "${CLAUDE_SKILL_DIR}")")}"
bun "$VIBES_ROOT/scripts/deploy-cloudflare.js" --name myapp --file index.html --ai-key "sk-or-v1-your-key"

The --ai-key flag configures the OpenRouter API key for the useAI() hook. Without it, /api/ai/chat returns {"error": "AI not configured"}.

Endpoints

| Endpoint | Method | Description |

|----------|--------|-------------|

| /registry.json | GET | Public registry read |

| /check/:subdomain | GET | Check subdomain availability |

| /claim | POST | Claim a subdomain (auth required) |

| /api/ai/chat | POST | AI proxy to OpenRouter (requires AI key) |

Important: Custom Domain Required for Subdomains

Workers.dev domains only support one subdomain level for SSL. For multi-tenant

apps with subdomains (tenant.myapp.workers.dev), you MUST use a custom domain.

Won't work: tenant.myapp.username.workers.dev (SSL error)

Will work: tenant.myapp.com (with custom domain)

On workers.dev, use the ?subdomain= query parameter for testing:

  • myapp.username.workers.dev → landing page
  • myapp.username.workers.dev?subdomain=tenant → tenant app
  • myapp.username.workers.dev?subdomain=admin → admin dashboard

Custom Domain Setup

  • Add domain to Cloudflare (get nameservers from Cloudflare DNS dashboard)
  • Point registrar nameservers to Cloudflare's assigned nameservers
  • Delete conflicting DNS records for the apex domain (A, AAAA, CNAME)
  • Add Custom Domain in Workers & Pages → your worker → Settings → Domains & Routes → Add → Custom Domain (apex: yourdomain.com)
  • Add wildcard CNAME in DNS: Name: *, Target: <worker-name>.<username>.workers.dev (Proxied: ON)
  • Add Route in Workers & Pages → your worker → Settings → Domains & Routes → Add → Route: *.yourdomain.com/*

After setup:

  • yourdomain.com → landing page
  • tenant.yourdomain.com → tenant app
  • admin.yourdomain.com → admin dashboard

Troubleshooting

| Problem | Cause | Fix |

|---------|-------|-----|

| Browser doesn't open for auth | Headless environment | Copy the printed URL and open manually |

| Deploy API returns 401 | Expired or invalid token | Delete ~/.vibes/auth.json and retry |

| 404 on subdomain URL | Workers.dev doesn't support nested subdomains | Set up a custom domain (see Custom Domain Setup above) |

| /api/ai/chat returns "AI not configured" | Missing OpenRouter key | Redeploy with --ai-key |

| Stale content after redeploy | Browser cache | Hard refresh (Cmd+Shift+R) or clear cache |

What's Next?

After successful deployment, present these options:

AskUserQuestion:

question: "Your app is deployed! What would you like to do next?"

header: "Next steps"

options:

  • label: "Set up custom domain"

description: "Configure DNS for subdomain routing (required for multi-tenant)"

  • label: "Enable AI features"

description: "Add OpenRouter API key for the useAI() hook"

  • label: "Add auth & SaaS features"

description: "Transform into SaaS with /vibes:factory, then redeploy"

  • label: "Open in browser"

description: "Visit the deployed URL to verify everything works"

Other skills for the same job

different authors, same section of the catalogue
Azure Kubernetes Automatic Readiness
by microsoft
vendor ×3

Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.

13k tokens
Capacity
by microsoft
vendor ×3

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

6k tokens scripts
Customize
by microsoft
vendor ×3

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

8k tokens
Deploy Model
by microsoft
vendor ×3

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

26k tokens scripts
Preset
by microsoft
vendor ×3

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

9k tokens
Lamindb
by christophacham
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

22k tokens
Latchbio Integration
by christophacham
×3

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

12k tokens
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens

How to use it

Copy the folder

Take popmechanic/cloudflare from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.