hono-cloudflare

bobmatnyc/claude-mpm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill hono-cloudflare
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summary

Hono was originally built for Cloudflare Workers and provides first-class support for the entire Cloudflare ecosystem including KV, D1, R2, Durable Objects, Queues, and more.

skill.md

Hono on Cloudflare Workers

Overview

Hono was originally built for Cloudflare Workers and provides first-class support for the entire Cloudflare ecosystem including KV, D1, R2, Durable Objects, Queues, and more.

Key Features:

  • Native Workers support
  • Type-safe bindings access
  • KV, D1, R2, Durable Objects integration
  • Static asset serving
  • Cloudflare Pages support
  • Queue and scheduled handlers

When to Use This Skill

Use Hono on Cloudflare when:

  • Building edge APIs with global distribution
  • Need serverless SQLite with D1
  • Building real-time apps with Durable Objects
  • Storing files with R2
  • Need fast key-value storage with KV
  • Deploying full-stack apps to Pages

Quick Start

Create New Project

npm create hono@latest my-app

# Select: cloudflare-workers

cd my-app
npm install
npm run dev

Project Structure

my-app/
├── src/
│   └── index.ts         # Main entry point
├── wrangler.toml        # Cloudflare configuration
├── package.json
└── tsconfig.json

Basic Application

// src/index.ts
import { Hono } from 'hono'

const app = new Hono()

app.get('/', (c) => c.text('Hello Cloudflare Workers!'))

export default app

Deploy

# Deploy to Cloudflare
npx wrangler deploy

# Local development
npx wrangler dev

Environment Bindings

Typed Bindings

import { Hono } from 'hono'

// Define your bindings
type Bindings = {
  // Environment variables
  API_KEY: string
  DATABASE_URL: string

  // KV Namespaces
  MY_KV: KVNamespace

  // D1 Databases
  DB: D1Database

  // R2 Buckets
  BUCKET: R2Bucket

  // Durable Objects
  COUNTER: DurableObjectNamespace

  // Queues
  MY_QUEUE: Queue
}

const app = new Hono<{ Bindings: Bindings }>()

app.get('/config', (c) => {
  // Fully typed access
  const apiKey = c.env.API_KEY
  return c.json({ configured: !!apiKey })
})

export default app

wrangler.toml Configuration

name = "my-app"
main = "src/index.ts"
compatibility_date = "2024-01-01"

[vars]
API_KEY = "your-api-key"  # pragma: allowlist secret

[[kv_namespaces]]
binding = "MY_KV"
id = "your-kv-id"

[[d1_databases]]
binding = "DB"
database_name = "my-database"
database_id = "your-d1-id"

[[r2_buckets]]
binding = "BUCKET"
bucket_name = "my-bucket"

[[queues.producers]]
binding = "MY_QUEUE"
queue = "my-queue"

KV Storage

Basic Operations

type Bindings = {
  CACHE: KVNamespace
}

const app = new Hono<{ Bindings: Bindings }>()

// Get value
app.get('/cache/:key', async (c) => {
  const key = c.req.param('key')
  const value = await c.env.CACHE.get(key)

  if (!value) {
    return c.json({ error: 'Not found' }, 404)
  }

  return c.json({ key, value })
})

// Get JSON value
app.get('/cache/:key/json', async (c) => {
  const key = c.req.param('key')
  const value = await c.env.CACHE.get(key, 'json')

  return c.json({ key, value })
})

// Set value
app.put('/cache/:key', async (c) => {
  const key = c.req.param('key')
  const body = await c.req.json()

  await c.env.CACHE.put(key, JSON.stringify(body), {
    expirationTtl: 3600  // 1 hour
  })

  return c.json({ success: true })
})

// Delete value
app.delete('/cache/:key', async (c) => {
  const key = c.req.param('key')
  await c.env.CACHE.delete(key)

  return c.json({ success: true })
})

// List keys
app.get('/cache', async (c) => {
  const prefix = c.req.query('prefix') || ''
  const list = await c.env.CACHE.list({ prefix, limit: 100 })

<
how to use hono-cloudflare

How to use hono-cloudflare on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add hono-cloudflare
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill hono-cloudflare

The skills CLI fetches hono-cloudflare from GitHub repository bobmatnyc/claude-mpm-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/hono-cloudflare

Reload or restart Cursor to activate hono-cloudflare. Access the skill through slash commands (e.g., /hono-cloudflare) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.537 reviews
  • Ganesh Mohane· Dec 16, 2024

    hono-cloudflare reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Layla Haddad· Dec 16, 2024

    We added hono-cloudflare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Tariq Brown· Dec 12, 2024

    hono-cloudflare is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Charlotte Martinez· Dec 4, 2024

    hono-cloudflare reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Charlotte Khan· Nov 23, 2024

    I recommend hono-cloudflare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Rahul Santra· Nov 7, 2024

    I recommend hono-cloudflare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Zara Liu· Nov 7, 2024

    Keeps context tight: hono-cloudflare is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Tariq Chen· Nov 3, 2024

    hono-cloudflare fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Pratham Ware· Oct 26, 2024

    Useful defaults in hono-cloudflare — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Tariq Martin· Oct 26, 2024

    hono-cloudflare is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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