Installation
npx skills add cloudflare/skills --skill wrangler 9.2K
Installs
Wrangler CLI
Your knowledge of Wrangler CLI flags, config fields, and subcommands may be outdated. Prefer retrieval over pre-training for any Wrangler task.
Retrieval Sources
Fetch the latest information before writing or reviewing Wrangler commands and config. Do not rely on baked-in knowledge for CLI flags, config fields, or binding shapes.
| Source | How to retrieve | Use for |
|---|---|---|
| Wrangler docs | https://developers.cloudflare.com/workers/wrangler/ |
CLI commands, flags, config reference |
| Wrangler config schema | node_modules/wrangler/config-schema.json |
Config fields, binding shapes, allowed values |
| Cloudflare docs | Search tool or https://developers.cloudflare.com/workers/ |
API reference, compatibility dates/flags |
FIRST: Verify Wrangler Installation
wrangler --version # Requires v4.x+If not installed:
npm install -D wrangler@latestKey Guidelines
- Use
wrangler.jsonc: Prefer JSON config over TOML. Newer features are JSON-only. - Set
compatibility_date: Use a recent date (within 30 days). Check https://developers.cloudflare.com/workers/configuration/compatibility-dates/ - Generate types after config changes: Run
wrangler typesto update TypeScript bindings. - Local dev defaults to local storage: Bindings use local simulation unless
remote: true. - Profile Worker startup: Run
wrangler check startupto measure startup time and detect scripts that exceed the startup time limit. - Use environments for staging/prod: Define
env.stagingandenv.productionin config.
Quick Start: New Worker
# Initialize new project
npx wrangler init my-worker
# Or with a framework
npx create-cloudflare@latest my-appQuick Reference: Core Commands
| Task | Command |
|---|---|
| Start local dev server | wrangler dev |
| Deploy to Cloudflare | wrangler deploy |
| Deploy dry run | wrangler deploy --dry-run |
| Generate TypeScript types | wrangler types |
| Profile Worker startup time | wrangler check startup |
| View live logs | wrangler tail |
| Delete Worker | wrangler delete |
| Auth status | wrangler whoami |
Configuration (wrangler.jsonc)
Minimal Config
{
"$schema": "./node_modules/wrangler/config-schema.json",
"name": "my-worker",
"main": "src/index.ts",
"compatibility_date": "2026-01-01"
}Full Config with Bindings
{
"$schema": "./node_modules/wrangler/config-schema.json",
"name": "my-worker",
"main": "src/index.ts",
"compatibility_date": "2026-01-01",
"compatibility_flags": ["nodejs_compat"],
// Environment variables
"vars": {
"ENVIRONMENT": "production"
},
// KV Namespace
"kv_namespaces": [
{ "binding": "KV", "id": "<KV_NAMESPACE_ID>" }
],
// R2 Bucket
"r2_buckets": [
{ "binding": "BUCKET", "bucket_name": "my-bucket" }
],
// D1 Database
"d1_databases": [
{ "binding": "DB", "database_name": "my-db", "database_id": "<DB_ID>" }
],
// Workers AI (always remote)
"ai": { "binding": "AI" },
// Vectorize
"vectorize": [
{ "binding": "VECTOR_INDEX", "index_name": "my-index" }
],
// Hyperdrive
"hyperdrive": [
{ "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }
],
// Durable Objects
"durable_objects": {
"bindings": [
{ "name": "COUNTER", "class_name": "Counter" }
]
},
// Cron triggers
"triggers": {
"crons": ["0 * * * *"]
},
// Environments
"env": {
"staging": {
"name": "my-worker-staging",
"vars": { "ENVIRONMENT": "staging" }
}
}
}Generate Types from Config
# Generate worker-configuration.d.ts
wrangler types
# Custom output path
wrangler types ./src/env.d.ts
# Check types are up to date (CI)
wrangler types --checkLocal Development
Start Dev Server
# Local mode (default) - uses local storage simulation
wrangler dev
# With specific environment
wrangler dev --env staging
# Force local-only (disable remote bindings)
wrangler dev --local
# Remote mode - runs on Cloudflare edge (legacy)
wrangler dev --remote
# Custom port
wrangler dev --port 8787
# Live reload for HTML changes
wrangler dev --live-reload
# Test scheduled/cron handlers
wrangler dev --test-scheduled
# Then visit: http://localhost:8787/__scheduledRemote Bindings for Local Dev
Use remote: true in binding config to connect to real resources while running locally:
{
"r2_buckets": [
{ "binding": "BUCKET", "bucket_name": "my-bucket", "remote": true }
],
"ai": { "binding": "AI", "remote": true },
"vectorize": [
{ "binding": "INDEX", "index_name": "my-index", "remote": true }
]
}Recommended remote bindings: AI (required), Vectorize, Browser Rendering, mTLS, Images.
Local Secrets
Create .dev.vars for local development secrets:
API_KEY=local-dev-key
DATABASE_URL=postgres://localhost:5432/devDeployment
Deploy Worker
# Deploy to production
wrangler deploy
# Deploy specific environment
wrangler deploy --env staging
# Dry run (validate without deploying)
wrangler deploy --dry-run
# Keep dashboard-set variables
wrangler deploy --keep-vars
# Minify code
wrangler deploy --minifyManage Secrets
Security: Never pass secret values as command arguments or pipe them via
echo.
Use the interactive prompt (preferred), pipe from a file, or usesecret bulk.
Never output, log, or hardcode secret values in commands.
# Set secret — interactive prompt (preferred, wrangler will ask for the value securely)
wrangler secret put API_KEY
# Set secret from a file (useful for PEM keys, CI environments)
wrangler secret put PRIVATE_KEY < path/to/private-key.pem
# List secrets
wrangler secret list
# Delete secret
wrangler secret delete API_KEY
# Bulk secrets from JSON file (do not commit this file to version control)
wrangler secret bulk secrets.jsonVersions and Rollback
# List recent versions
wrangler versions list
# View specific version
wrangler versions view <VERSION_ID>
# Rollback to previous version
wrangler rollback
# Rollback to specific version
wrangler rollback <VERSION_ID>KV (Key-Value Store)
Manage Namespaces
# Create namespace
wrangler kv namespace create MY_KV
# List namespaces
wrangler kv namespace list
# Delete namespace
wrangler kv namespace delete --namespace-id <ID>Manage Keys
# Put value
wrangler kv key put --namespace-id <ID> "key" "value"
# Put with expiration (seconds)
wrangler kv key put --namespace-id <ID> "key" "value" --expiration-ttl 3600
# Get value
wrangler kv key get --namespace-id <ID> "key"
# List keys
wrangler kv key list --namespace-id <ID>
# Delete key
wrangler kv key delete --namespace-id <ID> "key"
# Bulk put from JSON
wrangler kv bulk put --namespace-id <ID> data.jsonConfig Binding
{
"kv_namespaces": [
{ "binding": "CACHE", "id": "<NAMESPACE_ID>" }
]
}R2 (Object Storage)
Manage Buckets
# Create bucket
wrangler r2 bucket create my-bucket
# Create with location hint
wrangler r2 bucket create my-bucket --location wnam
# List buckets
wrangler r2 bucket list
# Get bucket info
wrangler r2 bucket info my-bucket
# Delete bucket
wrangler r2 bucket delete my-bucketManage Objects
# Upload object
wrangler r2 object put my-bucket/path/file.txt --file ./local-file.txt
# Download object
wrangler r2 object get my-bucket/path/file.txt
# Delete object
wrangler r2 object delete my-bucket/path/file.txtConfig Binding
{
"r2_buckets": [
{ "binding": "ASSETS", "bucket_name": "my-bucket" }
]
}D1 (SQL Database)
Manage Databases
# Create database
wrangler d1 create my-database
# Create with location
wrangler d1 create my-database --location wnam
# List databases
wrangler d1 list
# Get database info
wrangler d1 info my-database
# Delete database
wrangler d1 delete my-databaseExecute SQL
# Execute SQL command (remote)
wrangler d1 execute my-database --remote --command "SELECT * FROM users"
# Execute SQL file (remote)
wrangler d1 execute my-database --remote --file ./schema.sql
# Execute locally
wrangler d1 execute my-database --local --command "SELECT * FROM users"Migrations
# Create migration
wrangler d1 migrations create my-database create_users_table
# List pending migrations
wrangler d1 migrations list my-database --local
# Apply migrations locally
wrangler d1 migrations apply my-database --local
# Apply migrations to remote
wrangler d1 migrations apply my-database --remoteExport/Backup
# Export schema and data
wrangler d1 export my-database --remote --output backup.sql
# Export schema only
wrangler d1 export my-database --remote --output schema.sql --no-dataConfig Binding
{
"d1_databases": [
{
"binding": "DB",
"database_name": "my-database",
"database_id": "<DATABASE_ID>",
"migrations_dir": "./migrations"
}
]
}Vectorize (Vector Database)
Manage Indexes
# Create index with dimensions
wrangler vectorize create my-index --dimensions 768 --metric cosine
# Create with preset (auto-configures dimensions/metric)
wrangler vectorize create my-index --preset @cf/baai/bge-base-en-v1.5
# List indexes
wrangler vectorize list
# Get index info
wrangler vectorize get my-index
# Delete index
wrangler vectorize delete my-indexManage Vectors
# Insert vectors from NDJSON file
wrangler vectorize insert my-index --file vectors.ndjson
# Query vectors
wrangler vectorize query my-index --vector "[0.1, 0.2, ...]" --top-k 10Config Binding
{
"vectorize": [
{ "binding": "SEARCH_INDEX", "index_name": "my-index" }
]
}Hyperdrive (Database Accelerator)
Manage Configs
# Create config
wrangler hyperdrive create my-hyperdrive \
--origin-host db.example.com \
--origin-port 5432 \
--database my-database \
--origin-user db-user \
--origin-password "$DB_PASSWORD"
# Or using a connection string from an environment variable
wrangler hyperdrive create my-hyperdrive \
--connection-string "$HYPERDRIVE_CONNECTION_STRING"
# List configs
wrangler hyperdrive list
# Get config details
wrangler hyperdrive get <HYPERDRIVE_ID>
# Update config
wrangler hyperdrive update <HYPERDRIVE_ID> \
--origin-password "$DB_PASSWORD"
# Delete config
wrangler hyperdrive delete <HYPERDRIVE_ID>Config Binding
{
"compatibility_flags": ["nodejs_compat"],
"hyperdrive": [
{ "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }
]
}Workers AI
List Models
# List available models
wrangler ai models
# List finetunes
wrangler ai finetune listConfig Binding
{
"ai": { "binding": "AI" }
}Note: Workers AI always runs remotely and incurs usage charges even in local dev.
Queues
Manage Queues
# Create queue
wrangler queues create my-queue
# List queues
wrangler queues list
# Delete queue
wrangler queues delete my-queue
# Add consumer to queue
wrangler queues consumer add my-queue my-worker
# Remove consumer
wrangler queues consumer remove my-queue my-workerConfig Binding
{
"queues": {
"producers": [
{ "binding": "MY_QUEUE", "queue": "my-queue" }
],
"consumers": [
{
"queue": "my-queue",
"max_batch_size": 10,
"max_batch_timeout": 30
}
]
}
}Containers
Build and Push Images
# Build container image
wrangler containers build -t my-app:latest .
# Build and push in one command
wrangler containers build -t my-app:latest . --push
# Push existing image to Cloudflare registry
wrangler containers push my-app:latestManage Containers
# List containers
wrangler containers list
# Get container info
wrangler containers info <CONTAINER_ID>
# Delete container
wrangler containers delete <CONTAINER_ID>Manage Images
# List images in registry
wrangler containers images list
# Delete image
wrangler containers images delete my-app:latestManage External Registries
Security: Never hardcode registry credentials in commands. Use environment variables.
# List configured registries
wrangler containers registries list
# Configure external registry (e.g., ECR)
wrangler containers registries configure <DOMAIN> \
--aws-access-key-id "$AWS_ACCESS_KEY_ID"
# Configure DockerHub
wrangler containers registries configure <DOMAIN> \
--dockerhub-username "$DOCKERHUB_USERNAME"
# Delete registry configuration
wrangler containers registries delete <DOMAIN>Workflows
Manage Workflows
# List workflows
wrangler workflows list
# Describe workflow
wrangler workflows describe my-workflow
# Trigger workflow instance
wrangler workflows trigger my-workflow
# Trigger with parameters
wrangler workflows trigger my-workflow --params '{"key": "value"}'
# Delete workflow
wrangler workflows delete my-workflowManage Workflow Instances
# List instances
wrangler workflows instances list my-workflow
# Describe instance
wrangler workflows instances describe my-workflow <INSTANCE_ID>
# Terminate instance
wrangler workflows instances terminate my-workflow <INSTANCE_ID>Config Binding
{
"workflows": [
{
"binding": "MY_WORKFLOW",
"name": "my-workflow",
"class_name": "MyWorkflow"
}
]
}Pipelines
Manage Pipelines
# Create pipeline
wrangler pipelines create my-pipeline --r2 my-bucket
# List pipelines
wrangler pipelines list
# Show pipeline details
wrangler pipelines show my-pipeline
# Update pipeline
wrangler pipelines update my-pipeline --batch-max-mb 100
# Delete pipeline
wrangler pipelines delete my-pipelineConfig Binding
{
"pipelines": [
{ "binding": "MY_PIPELINE", "pipeline": "my-pipeline" }
]
}Secrets Store
Manage Stores
# Create store
wrangler secrets-store store create my-store
# List stores
wrangler secrets-store store list
# Delete store
wrangler secrets-store store delete <STORE_ID>Manage Secrets in Store
# Add secret to store
wrangler secrets-store secret put <STORE_ID> my-secret
# List secrets in store
wrangler secrets-store secret list <STORE_ID>
# Get secret
wrangler secrets-store secret get <STORE_ID> my-secret
# Delete secret from store
wrangler secrets-store secret delete <STORE_ID> my-secretConfig Binding
{
"secrets_store_secrets": [
{
"binding": "MY_SECRET",
"store_id": "<STORE_ID>",
"secret_name": "my-secret"
}
]
}Pages (Frontend Deployment)
# Create Pages project
wrangler pages project create my-site
# Deploy directory to Pages
wrangler pages deploy ./dist
# Deploy with specific branch
wrangler pages deploy ./dist --branch main
# List deployments
wrangler pages deployment list --project-name my-siteObservability
Tail Logs
# Stream live logs
wrangler tail
# Tail specific Worker
wrangler tail my-worker
# Filter by status
wrangler tail --status error
# Filter by search term
wrangler tail --search "error"
# JSON output
wrangler tail --format jsonConfig Logging
{
"observability": {
"enabled": true,
"head_sampling_rate": 1
}
}Testing
Local Testing with Vitest
npm install -D @cloudflare/vitest-pool-workers vitestvitest.config.ts:
import { defineWorkersConfig } from "@cloudflare/vitest-pool-workers/config";
export default defineWorkersConfig({
test: {
poolOptions: {
workers: {
wrangler: { configPath: "./wrangler.jsonc" },
},
},
},
});Test Scheduled Events
# Enable in dev
wrangler dev --test-scheduled
# Trigger via HTTP
curl http://localhost:8787/__scheduledTroubleshooting
Common Issues
| Issue | Solution |
|---|---|
command not found: wrangler |
Install: npm install -D wrangler |
| Auth errors | Run wrangler login |
| Startup time limit exceeded | Run wrangler check startup to profile startup and generate CPU profiles |
| Type errors after config change | Run wrangler types |
| Local storage not persisting | Check .wrangler/state directory |
| Binding undefined in Worker | Verify binding name matches config exactly |
Debug Commands
# Check auth status
wrangler whoami
# Profile Worker startup time
wrangler check startup
# View config schema
wrangler docs configurationBest Practices
- Version control
wrangler.jsonc: Treat as source of truth for Worker config. - Use automatic provisioning: Omit resource IDs for auto-creation on deploy.
- Run
wrangler typesin CI: Add to build step to catch binding mismatches. - Use environments: Separate staging/production with
env.staging,env.production. - Set
compatibility_date: Update quarterly to get new runtime features. - Use
.dev.varsfor local secrets: Never commit secrets to config. - Test locally first:
wrangler devwith local bindings before deploying. - Use
--dry-runbefore major deploys: Validate changes without deployment. - Never embed secrets in commands: Use interactive prompts (
wrangler secret put), file-based input (wrangler secret bulk), or secure CI environment variables. Never echo, log, or pass secret values as CLI arguments.
Installs
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View Source
cloudflare/skills
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How to use this skill
Install wrangler by running npx skills add cloudflare/skills --skill wrangler in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of wrangler, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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