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Agent Skill · 开发

cloudflare-d1(Cloudflare D1 命令行)

cloudflare-d1 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cloudflare-d1 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 9,456。

总安装 2,694周安装 109GitHub Stars 126下载 846核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cloudflare-d1(Cloudflare D1 命令行)
来源仓库:https://github.com/secondsky/claude-skills
仓库路径:skills/cloudflare-d1
安装命令:
npx skills add https://github.com/secondsky/claude-skills --skill cloudflare-d1
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/secondsky/claude-skills --skill cloudflare-d1

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

cloudflare-d1 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

它可协助梳理仓库结构、追踪 Issue 进展、分析 Pull Request 变更,以及辅助代码协作流程管理。通过 npx skills add 命令从指定仓库安装,具体用法请参考原始 README 和项目文档。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cloudflare-d1

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/secondsky/claude-skills --skill cloudflare-d1;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cloudflare-d1 怎么安装?

在终端执行 npx skills add https://github.com/secondsky/claude-skills --skill cloudflare-d1。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cloudflare-d1 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cloudflare-d1 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cloudflare-d1 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cloudflare-d1 用的人多吗?

公开数据是累计安装 2,694 次,近一周安装 109 次,下载 846 次,GitHub 126 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cloudflare-d1 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
cloudflare-d1

Cloudflare D1 命令行 · 本页

2,694126需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cloudflare D1 Database

Status: Production Ready ✅ | Last Verified: 2025-01-15

Table of Contents

  1. What Is D1?
  2. Quick Start
  3. Critical Rules
  4. D1 API Methods
  5. Top 5 Use Cases
  6. Migrations Best Practices
  7. Common Patterns
  8. SQLite Type Affinity
  9. Top 5 Errors Prevented

What Is D1?

Cloudflare D1 is serverless SQLite on the edge:

  • SQL database without servers
  • Global distribution
  • Zero cold starts
  • Standard SQLite syntax
  • Read replication for global performance

🆕 New in 2025

D1 received major updates throughout 2025:

Performance (January 2025)

  • 40-60% latency reduction globally (P50 query times)
  • Optimized SQLite engine for edge execution
  • Reduced cold start impact for databases <100 MB

Reliability (September 2025)

  • Automatic query retries: Read queries retry up to 2x on transient failures
  • Transparent to application code (logged in wrangler tail)

Scalability (April 2025)

  • Read Replication (Public Beta): Deploy read replicas globally
  • Up to 2x read throughput for read-heavy workloads
  • Sessions API for read-write separation

Compliance (November 2025)

  • Data Localization: Specify EU/US jurisdiction for GDPR/data sovereignty
  • Configure via --jurisdiction flag or wrangler.jsonc

⚠️ Breaking Change (February 10, 2025)

  • Free tier hard limits enforced: 10 DBs, 500 MB each, 50 queries/invocation
  • Exceeding limits = 429 errors (previously warnings only)
  • Action: Review usage with wrangler d1 list and upgrade if needed

Full details: Load references/2025-features.md


Quick Start (5 Minutes)

1. Create Database

bunx wrangler d1 create my-database

Save the database_id from output!

2. Configure Binding

Add to wrangler.jsonc:

{
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2025-10-11",
  "d1_databases": [
    {
      "binding": "DB",                    // env.DB
      "database_name": "my-database",
      "database_id": "<UUID>",
      "preview_database_id": "local-db"
    }
  ]
}

3. Create Migration

bunx wrangler d1 migrations create my-database create_users

Edit migrations/0001_create_users.sql:

CREATE TABLE IF NOT EXISTS users (
  user_id INTEGER PRIMARY KEY AUTOINCREMENT,
  email TEXT NOT NULL UNIQUE,
  username TEXT NOT NULL,
  created_at INTEGER NOT NULL
);

CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);

PRAGMA optimize;

4. Apply Migration

# Local
bunx wrangler d1 migrations apply my-database --local

# Production
bunx wrangler d1 migrations apply my-database --remote

5. Query from Worker

import { Hono } from 'hono';

type Bindings = {
  DB: D1Database;
};

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

app.get('/users/:email', async (c) => {
  const { results } = await c.env.DB.prepare(
    'SELECT * FROM users WHERE email = ?'
  )
    .bind(c.req.param('email'))
    .all();

  return c.json(results);
});

export default app;

Load references/setup-guide.md for complete walkthrough.


Critical Rules

Always Do ✅

  1. Use prepared statements with .bind() (never string concatenation)
  2. Create indexes for WHERE/JOIN/ORDER BY columns
  3. Use migrations for schema changes (never manual SQL)
  4. Batch queries for multiple operations (.batch())
  5. Run PRAGMA optimize after schema changes
  6. Handle errors explicitly (try/catch)
  7. Use INTEGER for timestamps (Date.now())
  8. Test locally before deploying migrations
  9. Use read replicas for global read performance
  10. Validate input before SQL queries

Never Do ❌

  1. Never concatenate user input into SQL
  2. Never commit database_id to public repos
  3. Never skip migrations for schema changes
  4. Never use VARCHAR (use TEXT instead)
  5. Never skip indexes for filtered columns
  6. Never ignore SQLite type affinity rules
  7. Never use SELECT * without LIMIT
  8. Never run migrations without testing locally
  9. Never exceed 1MB per row
  10. Never use DATETIME (use INTEGER for timestamps)

D1 API Methods

prepare() - Execute Queries

// Single result
const { results } = await env.DB.prepare(
  'SELECT * FROM users WHERE email = ?'
)
  .bind(email)
  .all();

// First result only
const user = await env.DB.prepare(
  'SELECT * FROM users WHERE user_id = ?'
)
  .bind(userId)
  .first();

// Raw results (faster)
const { results } = await env.DB.prepare(
  'SELECT username FROM users'
)
  .raw();  // Returns arrays instead of objects

batch() - Multiple Queries

const results = await env.DB.batch([
  env.DB.prepare('INSERT INTO users (email, username, created_at) VALUES (?, ?, ?)')
    .bind('user1@example.com', 'user1', Date.now()),
  env.DB.prepare('INSERT INTO users (email, username, created_at) VALUES (?, ?, ?)')
    .bind('user2@example.com', 'user2', Date.now()),
  env.DB.prepare('SELECT COUNT(*) as count FROM users')
]);

console.log('Users count:', results[2].results[0].count);

All queries execute in single transaction (all succeed or all fail).

exec() - Run SQL String

// For migrations/setup only
await env.DB.exec(`
  CREATE TABLE IF NOT EXISTS users (
    user_id INTEGER PRIMARY KEY,
    email TEXT NOT NULL
  );
  CREATE INDEX idx_email ON users(email);
`);

NEVER use for queries with user input!

Load references/query-patterns.md for complete API reference.


Top 5 Use Cases

Use Case 1: User CRUD

// Create
app.post('/users', async (c) => {
  const { email, username } = await c.req.json();

  const { results } = await c.env.DB.prepare(
    'INSERT INTO users (email, username, created_at) VALUES (?, ?, ?) RETURNING *'
  )
    .bind(email, username, Date.now())
    .all();

  return c.json(results[0]);
});

// Read
app.get('/users/:id', async (c) => {
  const user = await c.env.DB.prepare(
    'SELECT * FROM users WHERE user_id = ?'
  )
    .bind(c.req.param('id'))
    .first();

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

  return c.json(user);
});

// Update
app.patch('/users/:id', async (c) => {
  const { username } = await c.req.json();

  await c.env.DB.prepare(
    'UPDATE users SET username = ?, updated_at = ? WHERE user_id = ?'
  )
    .bind(username, Date.now(), c.req.param('id'))
    .run();

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

// Delete
app.delete('/users/:id', async (c) => {
  await c.env.DB.prepare(
    'DELETE FROM users WHERE user_id = ?'
  )
    .bind(c.req.param('id'))
    .run();

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

Use Case 2: Batch Operations

app.post('/users/bulk', async (c) => {
  const users = await c.req.json();  // Array of users

  const statements = users.map(user =>
    c.env.DB.prepare(
      'INSERT INTO users (email, username, created_at) VALUES (?, ?, ?)'
    ).bind(user.email, user.username, Date.now())
  );

  const results = await c.env.DB.batch(statements);

  return c.json({ inserted: results.length });
});

Use Case 3: Read Replication (Global Reads)

// Configure read replica (any region)
const session = c.env.DB.withSession({
  preferredRegion: 'auto'  // or 'weur', 'wnam', 'enam', 'apac'
});

// Read from nearest replica
const { results } = await session.prepare(
  'SELECT * FROM users WHERE email = ?'
)
  .bind(email)
  .all();

// Check which region served request
console.log('Served by:', results[0].served_by_region);

Load references/read-replication.md for complete guide.

Use Case 4: Transactions with Batch

// Transfer credits between users (atomic)
const results = await c.env.DB.batch([
  c.env.DB.prepare(
    'UPDATE users SET credits = credits - ? WHERE user_id = ?'
  ).bind(amount, fromUserId),
  c.env.DB.prepare(
    'UPDATE users SET credits = credits + ? WHERE user_id = ?'
  ).bind(amount, toUserId),
  c.env.DB.prepare(
    'INSERT INTO transactions (from_user, to_user, amount, created_at) VALUES (?, ?, ?, ?)'
  ).bind(fromUserId, toUserId, amount, Date.now())
]);

// All succeed or all fail (transaction)

Use Case 5: Pagination

app.get('/users', async (c) => {
  const page = parseInt(c.req.query('page') || '1');
  const limit = 20;
  const offset = (page - 1) * limit;

  const { results } = await c.env.DB.prepare(
    'SELECT * FROM users ORDER BY created_at DESC LIMIT ? OFFSET ?'
  )
    .bind(limit, offset)
    .all();

  return c.json({
    users: results,
    page,
    limit
  });
});

Migrations Best Practices

1. Always Use Migrations

bunx wrangler d1 migrations create my-database add_users_avatar

2. Make Migrations Idempotent

-- ✅ GOOD: Idempotent
CREATE TABLE IF NOT EXISTS users (...);
CREATE INDEX IF NOT EXISTS idx_email ON users(email);
DROP TABLE IF EXISTS old_table;

-- ❌ BAD: Fails on re-run
CREATE TABLE users (...);
CREATE INDEX idx_email ON users(email);

3. Test Locally First

bunx wrangler d1 migrations apply my-database --local
bunx wrangler d1 execute my-database --local --command "SELECT * FROM users"

4. Add PRAGMA optimize

-- End of migration
PRAGMA optimize;

Load templates/schema-example.sql for complete schema template.


When to Load References

Load references/setup-guide.md when:

  • First-time D1 setup
  • Creating first database
  • Configuring bindings
  • Applying first migration

Load references/query-patterns.md when:

  • Need complete API reference
  • Complex query patterns
  • Batch operations
  • Error handling

Load references/read-replication.md when:

  • Setting up global reads
  • Need low latency worldwide
  • Understanding Sessions API
  • Sequential consistency required

Load references/best-practices.md when:

  • Optimizing query performance
  • Schema design decisions
  • Index strategies
  • Production deployment checklist

Load references/limits.md when:

  • Encountering 429 errors or quota warnings
  • Planning capacity for free vs paid tiers
  • Understanding database/query limits
  • Migrating to paid plan

Load references/metrics-analytics.md when:

  • Investigating performance issues
  • Setting up monitoring and alerts
  • Using wrangler d1 insights command
  • Analyzing query efficiency

Load references/2025-features.md when:

  • Upgrading from v2.x to v3.x
  • Enabling new features (auto-retry, jurisdiction, replication)
  • Understanding breaking changes (Feb 10, 2025 enforcement)
  • Migrating before deadlines

Interactive Tools

Agents (Autonomous diagnostics):

  • agents/d1-debugger.md: 9-phase diagnostic (config, migrations, queries, bindings, errors, limits, performance, Time Travel)
  • agents/d1-query-optimizer.md: Performance analysis (slow queries, missing indexes, optimization recommendations)

Commands (Interactive wizards):

  • commands/cloudflare-d1:setup.md: Interactive first-time setup wizard
  • commands/d1-create-migration.md: Guided migration creation with validation

Using Bundled Resources

References (references/)

  • setup-guide.md - Complete setup walkthrough
  • query-patterns.md - Complete API reference with examples
  • read-replication.md - Global read replicas setup
  • best-practices.md - Performance and optimization

Templates (templates/)

  • schema-example.sql - Complete schema with indexes
  • d1-worker-queries.ts - All query patterns in Workers
  • cloudflare-d1:setup-migration.sh - Complete setup script

Common Patterns

Error Handling

try {
  const { results } = await env.DB.prepare(
    'SELECT * FROM users WHERE email = ?'
  )
    .bind(email)
    .all();

  return c.json(results);
} catch (error) {
  console.error('D1 Error:', error);
  return c.json({ error: 'Database error' }, 500);
}

Raw Mode (Performance)

// Returns arrays instead of objects (faster)
const { results } = await env.DB.prepare(
  'SELECT user_id, email FROM users'
)
  .raw();

// results = [[1, 'user1@example.com'], [2, 'user2@example.com']]

COUNT Queries

const count = await env.DB.prepare(
  'SELECT COUNT(*) as count FROM users'
)
  .first('count');  // Get single column value

console.log('Total users:', count);

SQLite Type Affinity

D1 uses SQLite type affinity:

Declared TypeAffinity
INTEGER, INTINTEGER
TEXT, VARCHAR, CHARTEXT
REAL, FLOAT, DOUBLEREAL
BLOBBLOB
(no type)BLOB

Best practices:

  • Use INTEGER for numbers
  • Use TEXT for strings (not VARCHAR)
  • Use INTEGER for timestamps (Date.now())
  • Use BLOB for binary data

Top 5 Errors Prevented

  1. SQL Injection: Use .bind(), never string concatenation
  2. Missing Indexes: Create indexes for WHERE/JOIN columns
  3. Migration Failures: Test locally first
  4. Type Confusion: Use INTEGER for timestamps
  5. Batch Size: Limit batch to <500 statements

Load references/best-practices.md for complete error prevention.


Official Documentation


Questions? Issues?

  1. Check references/setup-guide.md for setup
  2. Review references/query-patterns.md for API reference
  3. See references/read-replication.md for global reads
  4. Load references/best-practices.md for optimization

平台分布

Codex

38.45%
按下载量换算325

Claude

28.92%
按下载量换算245

Cursor

18.23%
按下载量换算154

Gemini CLI

10.38%
按下载量换算88

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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