cloudflare-workers
Build serverless applications on Cloudflare Workers. Covers runtime APIs, handlers (fetch, scheduled, queue, email), bindings (KV, R2, D1, Durable Objects, Queues, AI, Vectorize), wrangler.toml configuration, local development with Miniflare, static assets, compatibility flags, testing with Vitest. Keywords: Cloudflare Workers, serverless, edge computing, Wrangler, fetch handler, scheduled handler, bindings, KV, R2, D1, Durable Objects, Workers AI, Miniflare, wrangler.toml, compatibility_date.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install itechmeat-llm-code-cloudflare-workers
Repository
Skill path: skills/cloudflare-workers
Build serverless applications on Cloudflare Workers. Covers runtime APIs, handlers (fetch, scheduled, queue, email), bindings (KV, R2, D1, Durable Objects, Queues, AI, Vectorize), wrangler.toml configuration, local development with Miniflare, static assets, compatibility flags, testing with Vitest. Keywords: Cloudflare Workers, serverless, edge computing, Wrangler, fetch handler, scheduled handler, bindings, KV, R2, D1, Durable Objects, Workers AI, Miniflare, wrangler.toml, compatibility_date.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: itechmeat.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install cloudflare-workers into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/itechmeat/llm-code before adding cloudflare-workers to shared team environments
- Use cloudflare-workers for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.