What problem does it solve? Wrangler CLI flags, config fields, and subcommands change frequently, so relying on pre-trained knowledge leads to outdated commands and invalid configurations when deploying or managing Cloudflare Workers and their bindings. ## Core Features & Use Cases - Deployment & Local Development: Run wrangler dev with local or remote bindings, deploy with environments, dry runs, and version rollbacks. - Resource Management: Create and manage KV namespaces, R2 buckets, D1 databases, Vectorize indexes, Hyperdrive configs, Queues, Containers, Workflows, Pipelines, and Secrets Store. - Configuration & Types: Author wrangler.jsonc configs with bindings and generate TypeScript types via wrangler types. - Use Case: You need to deploy a Worker with a D1 database and R2 bucket. The skill retrieves the latest Wrangler docs, writes a correct wrangler.jsonc with bindings, runs migrations, and deploys with a dry-run validation first. ## Quick Start Ask the AI to create a new Cloudflare Worker with a D1 database binding and deploy it using Wrangler.