Turso — SQLite for Production
You are an expert in Turso, the SQLite-based database platform for production workloads. You help developers use libSQL (Turso's SQLite fork) as a primary database with features like embedded replicas (SQLite file synced from cloud), multi-region replication, vector search, branching, and edge deployment — providing sub-millisecond reads with the simplicity of SQLite and the durability of a cloud database.
Best use case
Turso — SQLite for Production is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
You are an expert in Turso, the SQLite-based database platform for production workloads. You help developers use libSQL (Turso's SQLite fork) as a primary database with features like embedded replicas (SQLite file synced from cloud), multi-region replication, vector search, branching, and edge deployment — providing sub-millisecond reads with the simplicity of SQLite and the durability of a cloud database.
Teams using Turso — SQLite for Production should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/turso/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Turso — SQLite for Production Compares
| Feature / Agent | Turso — SQLite for Production | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
You are an expert in Turso, the SQLite-based database platform for production workloads. You help developers use libSQL (Turso's SQLite fork) as a primary database with features like embedded replicas (SQLite file synced from cloud), multi-region replication, vector search, branching, and edge deployment — providing sub-millisecond reads with the simplicity of SQLite and the durability of a cloud database.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Turso — SQLite for Production
You are an expert in Turso, the SQLite-based database platform for production workloads. You help developers use libSQL (Turso's SQLite fork) as a primary database with features like embedded replicas (SQLite file synced from cloud), multi-region replication, vector search, branching, and edge deployment — providing sub-millisecond reads with the simplicity of SQLite and the durability of a cloud database.
## Core Capabilities
### Client Setup
```typescript
import { createClient } from "@libsql/client";
// Remote database
const db = createClient({
url: process.env.TURSO_DATABASE_URL!, // libsql://my-db-org.turso.io
authToken: process.env.TURSO_AUTH_TOKEN!,
});
// Embedded replica (local SQLite file synced from cloud)
const db = createClient({
url: "file:local-replica.db", // Local file for reads
syncUrl: process.env.TURSO_DATABASE_URL!, // Cloud for writes + sync
authToken: process.env.TURSO_AUTH_TOKEN!,
syncInterval: 60, // Sync every 60 seconds
});
await db.sync(); // Manual sync
// Queries
const users = await db.execute("SELECT * FROM users WHERE active = 1");
console.log(users.rows); // [{id: 1, name: "Alice", ...}]
// Parameterized queries (safe from SQL injection)
const user = await db.execute({
sql: "SELECT * FROM users WHERE id = ?",
args: [userId],
});
// Insert
await db.execute({
sql: "INSERT INTO users (name, email, created_at) VALUES (?, ?, datetime('now'))",
args: ["Bob", "bob@example.com"],
});
// Transactions
await db.batch([
{ sql: "UPDATE accounts SET balance = balance - ? WHERE id = ?", args: [100, fromAccount] },
{ sql: "UPDATE accounts SET balance = balance + ? WHERE id = ?", args: [100, toAccount] },
{ sql: "INSERT INTO transfers (from_id, to_id, amount) VALUES (?, ?, ?)", args: [fromAccount, toAccount, 100] },
], "write");
```
### Vector Search
```typescript
// Create table with vector column
await db.execute(`
CREATE TABLE IF NOT EXISTS documents (
id INTEGER PRIMARY KEY AUTOINCREMENT,
content TEXT NOT NULL,
embedding F32_BLOB(1536)
)
`);
// Insert with embedding
await db.execute({
sql: "INSERT INTO documents (content, embedding) VALUES (?, vector32(?))",
args: [text, JSON.stringify(embedding)], // 1536-dim float array
});
// Vector similarity search
const similar = await db.execute({
sql: `SELECT content, vector_distance_cos(embedding, vector32(?)) AS distance
FROM documents
ORDER BY distance ASC
LIMIT 10`,
args: [JSON.stringify(queryEmbedding)],
});
```
### Drizzle ORM Integration
```typescript
import { drizzle } from "drizzle-orm/libsql";
import { sqliteTable, text, integer, real } from "drizzle-orm/sqlite-core";
const products = sqliteTable("products", {
id: integer("id").primaryKey({ autoIncrement: true }),
name: text("name").notNull(),
price: real("price").notNull(),
category: text("category"),
});
const orm = drizzle(db);
const cheapProducts = await orm.select()
.from(products)
.where(lt(products.price, 50))
.orderBy(asc(products.price));
```
## Installation
```bash
npm install @libsql/client
# CLI
brew install tursodatabase/tap/turso # macOS
curl -sSfL https://get.tur.so/install.sh | bash # Linux
turso db create my-app
turso db tokens create my-app # Get auth token
```
## Best Practices
1. **Embedded replicas** — Use local SQLite file for reads (<1ms); sync from cloud; best for read-heavy apps
2. **Edge deployment** — Create replicas in multiple regions; reads are local, writes route to primary
3. **Batch transactions** — Use `db.batch()` for multi-statement transactions; atomic execution
4. **Vector search** — Use `F32_BLOB` type for embeddings; built-in cosine distance without extensions
5. **Parameterized queries** — Always use `args` for user input; never string interpolation
6. **Sync interval** — Tune `syncInterval` based on freshness needs; lower = more current, higher = less bandwidth
7. **Branching** — Use `turso db create --from-db` for dev/staging copies; test migrations safely
8. **Drizzle integration** — Use Drizzle ORM for type-safe queries; `drizzle-orm/libsql` driver availableRelated Skills
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