wrangler-coder

Automate Wrangler project setup and deployment workflows for Cloudflare Workers.

47|11|Updated Nov 26, 2025
One-click install
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill wrangler-coder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wrangler-coder
Source: https://github.com/majesticlabs-dev/majestic-marketplace/tree/main/plugins/majestic-devops/skills/wrangler-coder
Command: npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill wrangler-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides Cloudflare Wrangler development for Workers, D1, and R2, with configuration patterns, multi-environment setups, and practical usage examples.

Core Features & Use Cases

  • Project Initialization & Configuration: Starter projects, wrangler.toml patterns, and multi-environment blocks.
  • D1 & R2 Bindings: KV, D1, and R2 bindings patterns for robust edge apps.
  • Deployment Workflows: Wrangler deployment, previews, and environment-specific tweaks.

Quick Start

Initialize a new Worker project with wrangler, then configure a simple D1 binding and a 2-env deployment.

Frequently Asked Questions about wrangler-coder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a Cloudflare Worker project with wrangler?

Initialize a Worker project using wrangler init, which scaffolds your project structure and creates a wrangler.toml configuration file. This file defines your Worker's metadata, environment variables, and resource bindings needed for deployment to Cloudflare.

How do I bind D1 databases and R2 storage to my Worker?

Add binding configurations to your wrangler.toml file specifying the database name or R2 bucket. Wrangler injects these bindings as global objects in your Worker code, enabling direct database queries and object storage operations without separate connection setup.

Can I deploy the same Worker code to different environments like dev, staging, and production?

Yes, wrangler supports multi-environment deployments through environment blocks in wrangler.toml. Define separate configurations for each environment with distinct bindings, variables, and routes, then deploy using wrangler deploy --env [environment-name].

What's the best way to manage environment variables and secrets across Worker deployments?

Define variables and secrets in environment-specific blocks within wrangler.toml or use wrangler secret put to store sensitive values securely. Wrangler automatically injects these into your Worker runtime, keeping credentials out of source code.

Does wrangler support KV namespaces and Durable Objects alongside D1 and R2?

Yes, wrangler handles bindings for KV namespaces, Durable Objects, Queues, and other Cloudflare services. Configure each binding type in wrangler.toml with its namespace ID or class name, and access them as injected globals in your Worker code.

How do I preview and test my Worker before deploying to production?

Run wrangler dev to start a local development server that simulates your Worker environment with all configured bindings. This allows testing against real D1 databases, R2 buckets, and KV namespaces before pushing changes to live environments.