Deploy and manage Cloudflare Workers, KV, R2, D1, and related resources via the Wrangler CLI.
npx skills add https://github.com/sergiodxa/monorepo --skill wrangler-sergiodxa
Please help me install this Agent Skill. Skill: wrangler Source: https://github.com/sergiodxa/monorepo/tree/main/.agents/skills/wrangler Command: npx skills add https://github.com/sergiodxa/monorepo --skill wrangler-sergiodxa
wrangler.jsonc templates with bindings for KV, R2, D1, Durable Objects, AI, Vectorize, Hyperdrive, Queues, Workflows, Pipelines, and Secrets Store, plus type generation via wrangler types. - Full Lifecycle Commands: Covers local development (wrangler dev with remote bindings), deployment with environments and rollback, secrets management, and observability via wrangler tail. - Resource Management: Documents CLI commands for creating and managing databases, buckets, namespaces, indexes, containers, and migrations. - Use Case: You need to deploy a Worker with a D1 database and staging/production environments. This Skill provides the exact config bindings, migration commands, and wrangler deploy --env staging workflow. ## Quick Start Ask the AI to load the wrangler skill and help you configure and deploy a Cloudflare Worker with a D1 database binding.High-intent search queries and answers about installing and using this skill.
Run wrangler deploy from your project directory after configuring wrangler.jsonc with your Worker name, entry point, and compatibility date. Use wrangler deploy --dry-run to validate first, and wrangler deploy --env staging to target a specific environment.
Create a migration with wrangler d1 migrations create, then apply it locally using wrangler d1 migrations apply my-database --local or to production with --remote. List pending migrations with wrangler d1 migrations list.
Use wrangler.jsonc because newer Wrangler features are JSON-only. The JSON format also supports comments and the $schema field for editor autocompletion via the config-schema.json file.
By default wrangler dev uses local storage simulation for bindings. Set remote: true on specific bindings in your config to connect to real resources, which is required for Workers AI and recommended for Vectorize.
The binding name in your code must exactly match the binding name in wrangler.jsonc. After changing config, run wrangler types to regenerate TypeScript definitions and wrangler check to validate the configuration.
Set secrets with wrangler secret put API_KEY or in bulk with wrangler secret bulk secrets.json. For local development, place secrets in a .dev.vars file, and never commit secrets to your wrangler.jsonc config.
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