smithery/majesticlabs-dev

wrangler-coder

This skill guides Cloudflare Workers and Pages development with Wrangler CLI. Use when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.

Installation

$ npx skills add smithery/majesticlabs-dev --skill wrangler-coder

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  • skill md SKILL.md 5,743 B
  • docs SUMMARY.md 221 B

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SKILL.md

Wrangler Coder

Wrangler is Cloudflare's official CLI for Workers, Pages, D1, R2, KV, Queues, and AI.

Installation

# npm
npm install -g wrangler

# pnpm
pnpm add -g wrangler

# Verify installation
wrangler --version

Authentication

# Interactive login (opens browser)
wrangler login

# Check authentication status
wrangler whoami

# Logout
wrangler logout

Environment Variables:

# API Token (preferred for CI/CD)
export CLOUDFLARE_API_TOKEN="your-api-token"

# Or with 1Password
CLOUDFLARE_API_TOKEN=op://Infrastructure/Cloudflare/wrangler_token

# Account ID (optional, can be in wrangler.toml)
export CLOUDFLARE_ACCOUNT_ID="your-account-id"

Project Initialization

# Create new Worker project
wrangler init my-worker

# Create from template
wrangler init my-worker --template cloudflare/worker-template

# Initialize in existing directory
wrangler init

wrangler.toml Configuration

Basic Worker

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"

# Account ID (can also use CLOUDFLARE_ACCOUNT_ID env var)
account_id = "your-account-id"

# Worker settings
workers_dev = true  # Enable *.workers.dev subdomain

Worker with Routes

name = "api-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"
account_id = "your-account-id"

# Custom domain routes
routes = [
  { pattern = "api.example.com/*", zone_name = "example.com" },
  { pattern = "example.com/api/*", zone_name = "example.com" }
]

Multi-Environment Configuration

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"
account_id = "your-account-id"

# Development (default)
workers_dev = true

# Staging environment
[env.staging]
name = "my-worker-staging"
routes = [
  { pattern = "staging-api.example.com/*", zone_name = "example.com" }
]
vars = { ENVIRONMENT = "staging" }

# Production environment
[env.production]
name = "my-worker-production"
routes = [
  { pattern = "api.example.com/*", zone_name = "example.com" }
]
vars = { ENVIRONMENT = "production" }

Cloudflare Products

Product Resource
KV Namespaces [references/kv-namespaces.md](references/kv-namespaces.md)
D1 Database & R2 Storage [references/d1-r2.md](references/d1-r2.md)
Queues & Durable Objects [references/queues-durable-objects.md](references/queues-durable-objects.md)
Workers AI [references/workers-ai.md](references/workers-ai.md)
Cloudflare Pages [references/pages.md](references/pages.md)

Secrets Management

# Add secret
wrangler secret put API_KEY
# (prompts for value)

# Add secret for specific environment
wrangler secret put API_KEY --env production

# List secrets
wrangler secret list

# Delete secret
wrangler secret delete API_KEY

# Bulk secrets from .dev.vars file (local dev only)
# Create .dev.vars file:
# API_KEY=xxx
# DB_PASSWORD=yyy
export interface Env {
  API_KEY: string;
  DB_PASSWORD: string;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Access secrets from env
    const apiKey = env.API_KEY;
    return new Response(`Key length: ${apiKey.length}`);
  }
};

Development Workflow

Local Development

# Start local dev server
wrangler dev

# With specific environment
wrangler dev --env staging

# Custom port
wrangler dev --port 8787

# Remote mode (uses Cloudflare's network)
wrangler dev --remote

# Local mode with persistent storage
wrangler dev --persist-to ./data

Testing

# Run tests with vitest (recommended)
npm install -D vitest @cloudflare/vitest-pool-workers

# vitest.config.ts
# import { defineWorkersConfig } from '@cloudflare/vitest-pool-workers/config';
# export default defineWorkersConfig({
#   test: { poolOptions: { workers: { wrangler: { configPath: './wrangler.toml' } } } }
# });

Deployment

# Deploy to workers.dev
wrangler deploy

# Deploy to specific environment
wrangler deploy --env production

# Dry run (show what would be deployed)
wrangler deploy --dry-run

# Deploy with custom name
wrangler deploy --name my-custom-worker

Logs and Debugging

# Tail logs (real-time)
wrangler tail

# Tail specific environment
wrangler tail --env production

# Filter logs
wrangler tail --status error
wrangler tail --search "user-id-123"
wrangler tail --ip 1.2.3.4

# View deployment versions
wrangler versions list

# Rollback to previous version
wrangler rollback

Complete Worker Example

See [references/worker-example.md](references/worker-example.md) for a production-ready Worker with D1, KV, R2 bindings, multi-environment config, and CORS handling.

Best Practices

  • Pin compatibility_date - Ensures reproducible behavior across deployments
  • Use environments - Separate staging/production configs in same file
  • Secrets via CLI - Never commit secrets, use wrangler secret put
  • Local persistence - Use --persist-to for consistent local dev state
  • Tail logs in production - Debug issues with wrangler tail --status error
  • Version control wrangler.toml - Track configuration changes
  • Use .dev.vars for local secrets - Add to .gitignore
  • Batch D1 operations - Reduce latency with env.DB.batch()
  • Cache strategically - Use KV for frequently accessed data
  • Handle errors gracefully - Return proper HTTP status codes