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turso-best-practices图尔索最佳实践

Agent Skill

turso-best-practices 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

371

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4

下载量

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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:turso-best-practices(图尔索最佳实践)
来源仓库:https://github.com/futuregerald/futuregerald-claude-plugin
仓库路径:skills/turso-best-practices
安装命令:
npx skills add https://github.com/futuregerald/futuregerald-claude-plugin --skill turso-best-practices
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/futuregerald/futuregerald-claude-plugin --skill turso-best-practices

简介

turso-best-practices 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。

  • 它能自动提取 GitHub 仓库的 Issue、PR 及协作动态,辅助代码审查与项目进度跟踪。
  • 安装命令:npx skills add https://github.com/futuregerald/futuregerald-claude-plugin --skill turso-best-practices。
  • 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。
  • 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

Turso & libSQL Best Practices

Overview

Turso is a fully managed SQLite-compatible database platform built on libSQL, a fork of SQLite. It provides edge distribution, embedded replicas, native vector search, branching, and point-in-time recovery. Core principle: SQLite simplicity with cloud-scale distribution.

When to Use

  • Building applications needing SQLite with cloud features
  • Implementing embedded replicas for offline-first apps
  • Adding vector search/AI embeddings to applications
  • Setting up local development with Turso
  • Managing database migrations and branching
  • Configuring encryption at rest
  • Working with the Turso CLI or Platform API

Quick Reference

TaskCommand/Pattern
Install CLI (macOS)brew install tursodatabase/tap/turso
Install CLI (Linux)`curl -sSfL https://get.tur.so/install.sh \bash`
Loginturso auth login
Create databaseturso db create my-db
Connect to shellturso db shell my-db
Get credentialsturso db show my-db --url and turso db tokens create my-db
Local dev serverturso dev
Local with fileturso dev --db-file local.db
Create branchturso db create branch-db --from-db my-db
Point-in-time restoreturso db create restored --from-db my-db --timestamp 2024-01-01T00:00:00Z
Database dumpturso db shell my-db.dump > dump.sql

Installation & Setup

CLI Installation

# macOS
brew install tursodatabase/tap/turso

# Linux / Windows (WSL)
curl -sSfL https://get.tur.so/install.sh | bash

Authentication

# Sign up (opens browser)
turso auth signup

# Login (opens browser)
turso auth login

# Headless mode (WSL/CI)
turso auth login --headless

Create Your First Database

# Create database (auto-detects closest region)
turso db create my-db

# Show database info
turso db show my-db

# Get connection URL
turso db show my-db --url

# Create auth token
turso db tokens create my-db

# Connect to shell
turso db shell my-db

SDK Usage (TypeScript/JavaScript)

Installation

npm install @libsql/client
# or
pnpm add @libsql/client

Basic Connection

import { createClient } from '@libsql/client'

const client = createClient({
  url: process.env.TURSO_DATABASE_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN,
})

Execute Queries

// Simple query
const result = await client.execute('SELECT * FROM users')

// Positional placeholders
const result = await client.execute({
  sql: 'SELECT * FROM users WHERE id = ?',
  args: [1],
})

// Named placeholders (:, @, or $)
const result = await client.execute({
  sql: 'INSERT INTO users (name, email) VALUES (:name, :email)',
  args: { name: 'Alice', email: 'alice@example.com' },
})

Response Structure

interface ResultSet {
  rows: Array<Row> // Row data (empty for writes)
  columns: Array<string> // Column names
  rowsAffected: number // Affected rows (writes)
  lastInsertRowid?: bigint // Last inserted row ID
}

Batch Transactions

Batch executes multiple statements in an implicit transaction:

const results = await client.batch(
  [
    { sql: 'INSERT INTO users (name) VALUES (?)', args: ['Alice'] },
    { sql: 'INSERT INTO users (name) VALUES (?)', args: ['Bob'] },
  ],
  'write' // Transaction mode: "write" | "read" | "deferred"
)

Interactive Transactions

For complex logic with conditional commits/rollbacks:

const transaction = await client.transaction('write')

try {
  const balance = await transaction.execute({
    sql: 'SELECT balance FROM accounts WHERE id = ?',
    args: [userId],
  })

  if (balance.rows[0].balance >= amount) {
    await transaction.execute({
      sql: 'UPDATE accounts SET balance = balance - ? WHERE id = ?',
      args: [amount, userId],
    })
    await transaction.commit()
  } else {
    await transaction.rollback()
  }
} catch (e) {
  await transaction.rollback()
  throw e
}

Transaction Modes

ModeSQLite CommandDescription
writeBEGIN IMMEDIATERead/write, serialized on primary
readBEGIN TRANSACTION READONLYRead-only, can run on replicas in parallel
deferredBEGIN DEFERREDStarts as read, upgrades to write on first write

Local Development

Option 1: SQLite File (Simplest)

const client = createClient({
  url: 'file:local.db',
})

No auth token needed. Works with standard SQLite features.

Option 2: Turso Dev Server (Full Features)

# Start local libSQL server
turso dev

# With persistent file
turso dev --db-file local.db
const client = createClient({
  url: 'http://127.0.0.1:8080',
})

Supports all libSQL features including extensions.

Option 3: Production Database Dump

# Export production data
turso db shell prod-db .dump > dump.sql

# Create local file from dump
cat dump.sql | sqlite3 local.db

Environment Variables Pattern

const client = createClient({
  url: process.env.TURSO_DATABASE_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN, // undefined locally
})
# Production
TURSO_DATABASE_URL=libsql://my-db-org.turso.io
TURSO_AUTH_TOKEN=eyJ...

# Development
TURSO_DATABASE_URL=file:local.db
# No auth token needed

Embedded Replicas

Local database that syncs with remote Turso database. Reads are instant (local), writes go to remote.

Configuration

const client = createClient({
  url: 'file:replica.db', // Local file
  syncUrl: 'libsql://my-db.turso.io', // Remote primary
  authToken: '...',
  syncInterval: 60, // Auto-sync every 60 seconds
})

Manual Sync

await client.sync()

Offline Mode

const client = createClient({
  url: 'file:replica.db',
  syncUrl: 'libsql://my-db.turso.io',
  authToken: '...',
  offline: true, // Writes go to local, sync later
})

Important Notes

  • Reads always from local replica
  • Writes go to remote primary (unless offline mode)
  • Read-your-writes guaranteed after successful write
  • Don't open local file while syncing (corruption risk)
  • One frame = 4KB (minimum write unit)

Vector Search (AI & Embeddings)

Native vector search without extensions.

Create Table with Vector Column

CREATE TABLE movies (
  id INTEGER PRIMARY KEY,
  title TEXT,
  embedding F32_BLOB(384)  -- 384-dimensional float32 vector
);

Vector Types

TypeStorageDescription
FLOAT64 / F64_BLOB8D + 1 bytes64-bit double precision
FLOAT32 / F32_BLOB4D bytes32-bit single precision (recommended)
FLOAT16 / F16_BLOB2D + 1 bytes16-bit half precision
FLOAT8 / F8_BLOBD + 14 bytes8-bit compressed
FLOAT1BIT / F1BIT_BLOBD/8 + 3 bytes1-bit binary

Insert Vectors

INSERT INTO movies (title, embedding)
VALUES ('Inception', vector32('[0.1, 0.2, 0.3, ...]'));

Similarity Search

SELECT title,
       vector_distance_cos(embedding, vector32('[0.1, 0.2, ...]')) AS distance
FROM movies
ORDER BY distance ASC
LIMIT 10;

Vector Index (DiskANN)

-- Create index
CREATE INDEX movies_idx ON movies(libsql_vector_idx(embedding));

-- Query with index (much faster for large tables)
SELECT title
FROM vector_top_k('movies_idx', vector32('[0.1, 0.2, ...]'), 10)
JOIN movies ON movies.rowid = id;

Index Settings

CREATE INDEX movies_idx ON movies(
  libsql_vector_idx(embedding, 'metric=cosine', 'compress_neighbors=float8')
);
SettingValuesDescription
metriccosine, l2Distance function
max_neighborsintegerGraph connectivity
compress_neighborsvector typeCompression for storage
search_lintegerSearch precision vs speed

Drizzle ORM Integration

Setup

npm install drizzle-orm @libsql/client
npm install -D drizzle-kit

Configuration

// drizzle.config.ts
import type { Config } from 'drizzle-kit'

export default {
  schema: './db/schema.ts',
  out: './migrations',
  dialect: 'turso',
  dbCredentials: {
    url: process.env.TURSO_DATABASE_URL!,
    authToken: process.env.TURSO_AUTH_TOKEN,
  },
} satisfies Config

Schema Definition

// db/schema.ts
import { text, integer, sqliteTable } from 'drizzle-orm/sqlite-core'

export const users = sqliteTable('users', {
  id: integer('id').primaryKey({ autoIncrement: true }),
  name: text('name').notNull(),
  email: text('email').notNull().unique(),
})

Client Setup

import { drizzle } from 'drizzle-orm/libsql'
import { createClient } from '@libsql/client'

const turso = createClient({
  url: process.env.TURSO_DATABASE_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN,
})

export const db = drizzle(turso)

Migrations

# Generate migrations
npm run drizzle-kit generate

# Apply migrations
npm run drizzle-kit migrate

Branching & Point-in-Time Recovery

Create Branch

turso db create feature-branch --from-db production-db

Point-in-Time Restore

turso db create restored-db --from-db production-db --timestamp 2024-01-15T10:00:00Z

CI/CD Branching (GitHub Actions)

name: Create Database Branch
on: create

jobs:
  create-branch:
    runs-on: ubuntu-latest
    steps:
      - name: Create Database
        run: |
          curl -X POST \
            -H "Authorization: Bearer ${{ secrets.TURSO_API_TOKEN }}" \
            -H "Content-Type: application/json" \
            -d '{"name": "${{ github.ref_name }}", "group": "default", "seed": {"type": "database", "name": "production"}}' \
            "https://api.turso.tech/v1/organizations/${{ secrets.ORG }}/databases"

Important Notes

  • Branches are separate databases (no auto-merge)
  • Need new token or group token for branch
  • Count toward database quota
  • Delete manually when done

Encryption at Rest

Generate Key

# 256-bit key for AEGIS-256/AES-256
openssl rand -base64 32

# 128-bit key for AEGIS-128/AES-128
openssl rand -base64 16

Create Encrypted Database

turso db create secure-db \
  --remote-encryption-key "YOUR_KEY" \
  --remote-encryption-cipher aegis256

Connect to Encrypted Database

turso db shell secure-db --remote-encryption-key "YOUR_KEY"

Supported Ciphers

CipherKey SizeRecommendation
aegis128l128-bitRecommended for speed
aegis256256-bitRecommended for security
aes128gcm128-bitNIST compliance
aes256gcm256-bitNIST compliance
chacha20poly1305256-bitAES alternative

SQLite Extensions

Preloaded (Always Available)

ExtensionDescription
JSONJSON functions
FTS5Full-text search
R*TreeSpatial indexing
SQLean CryptoHashing, encoding
SQLean FuzzyFuzzy string matching
SQLean MathAdvanced math
SQLean StatsStatistical functions
SQLean TextString manipulation
SQLean UUIDUUID generation

Enable Additional Extensions

turso db create my-db --enable-extensions

Common Mistakes

MistakeFix
Using @libsql/client/web with file URLsUse @libsql/client for local files
Long-running write transactionsKeep writes short, they block other writes
Opening local file during syncWait for sync to complete
Forgetting to sync embedded replicasCall sync() or use syncInterval
Hardcoding credentialsUse environment variables
Not using transactions for related writesUse batch() or transaction()
Creating vector index on wrong column typeColumn must be vector type (F32_BLOB, etc.)

Performance Tips

  • Use batch() for multiple related operations
  • Use read transactions for read-only queries (parallel on replicas)
  • Set appropriate syncInterval for embedded replicas
  • Use vector indexes for tables with >1000 rows
  • Consider compress_neighbors for large vector indexes
  • Use positional placeholders for frequently executed queries

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02

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