Token导航 LogoToken导航TokenDH.com
开发需要联网github未标认证来源可访问许可证需确认审计通过

cloudflare-d1Cloudflare D1 命令行

Agent Skill

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。

总安装

2,694

周安装

109

GitHub Stars

126

下载量

846
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills