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Postgres Nio

Organization
wendylabsinc
postgres-nio

Expert guidance on using PostgreSQL with Swift. Use when developers mention: (1) PostgreSQL or Postgres in Swift, (2) postgres-nio library, (3) SQL queries in Swift, (4) PostgreSQL connection pooling, (5) prepared statements, (6) type-safe database access, (7) bulk loading or COPY FROM, (8) PostgresClient or PostgresConnection.

Overview

Publisherwendylabsinc
Repositoryclaude-skills
Skill namepostgres-nio
Stars
62
Forks
5
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wendylabsinc on GitHub. Read the source before you install it.

Installation

Install the Postgres Nio AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wendylabsinc/claude-skills/tree/main/postgres-nio
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wendylabsinc/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/postgres-nio .claude/skills/postgres-nio
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Postgres Nio in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Postgres Nio on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Postgres Nio is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PostgreSQL

The postgres-nio library provides a Swift PostgreSQL client with full async/await support, type-safe query building, connection pooling, and prepared statements.

Quick Start

Installation

Add to Package.swift:

swift
dependencies: [
    .package(url: "https://github.com/vapor/postgres-nio.git", from: "1.21.0")
]

Basic Usage

swift
import PostgresNIO

// Using PostgresClient (recommended - includes connection pooling)
let client = PostgresClient(
    configuration: .init(
        host: "localhost",
        port: 5432,
        username: "postgres",
        password: "secret",
        database: "myapp",
        tls: .disable
    )
)

// Run as a service
try await withThrowingTaskGroup(of: Void.self) { group in
    group.addTask { try await client.run() }

    // Use client for queries
    let rows = try await client.query("SELECT id, name FROM users")
    for try await row in rows {
        let (id, name) = try row.decode((Int.self, String.self))
        print("User \(id): \(name)")
    }

    group.cancelAll()
}

Type-Safe Queries

Queries use string interpolation to prevent SQL injection:

swift
let userId = 123
let email = "alice@example.com"

// Interpolated values become parameter bindings ($1, $2, ...)
let query: PostgresQuery = "SELECT * FROM users WHERE id = \(userId) AND email = \(email)"
// Generates: "SELECT * FROM users WHERE id = $1 AND email = $2" with bindings [123, "alice@example.com"]

let rows = try await client.query(query)

Dynamic Identifiers

Use unescaped for table/column names (not user input!):

swift
let tableName = "users"  // Must be trusted, not user input
let query: PostgresQuery = "SELECT * FROM \(unescaped: tableName) WHERE id = \(userId)"

Row Decoding

Decode by Position

swift
let rows = try await client.query("SELECT id, name, email, created_at FROM users")
for try await row in rows {
    let (id, name, email, createdAt) = try row.decode((Int.self, String.self, String.self, Date.self))
}

Decode by Column Name

swift
for try await row in rows {
    let id = try row["id"].decode(Int.self)
    let name = try row["name"].decode(String.self)
    let email = try row["email"].decode(String?.self)  // Optional
}

Custom Types

swift
struct User: Decodable {
    let id: Int
    let name: String
    let email: String
}

// Decode into custom type
for try await row in rows {
    let user = try row.decode(User.self)
}

Prepared Statements

Define reusable prepared statements for performance:

swift
struct GetUserByEmail: PostgresPreparedStatement {
    typealias Row = (Int, String, Date)

    static let sql = "SELECT id, name, created_at FROM users WHERE email = $1"

    var email: String

    func makeBindings() -> PostgresBindings {
        var bindings = PostgresBindings()
        bindings.append(email)
        return bindings
    }

    func decodeRow(_ row: PostgresRow) throws -> Row {
        try row.decode(Row.self)
    }
}

// Execute prepared statement
let results = try await connection.execute(GetUserByEmail(email: "alice@example.com"))
for try await (id, name, createdAt) in results {
    print("Found user \(id)")
}

Transactions

swift
try await client.withConnection { connection in
    try await connection.query("BEGIN")

    do {
        try await connection.query("INSERT INTO accounts (id, balance) VALUES (\(fromId), \(fromBalance - amount))")
        try await connection.query("INSERT INTO accounts (id, balance) VALUES (\(toId), \(toBalance + amount))")
        try await connection.query("COMMIT")
    } catch {
        try await connection.query("ROLLBACK")
        throw error
    }
}

Bulk Loading (COPY FROM)

Efficiently load large datasets:

swift
let rowCount = try await connection.copyFrom(
    table: "users",
    columns: ["name", "email", "created_at"],
    format: .csv(delimiter: ",", header: false)
) { writer in
    for user in users {
        var buffer = ByteBuffer()
        buffer.writeString("\(user.name),\(user.email),\(user.createdAt)\n")
        try await writer.write(buffer)
    }
}
print("Inserted \(rowCount) rows")

Connection Configuration

swift
let config = PostgresClient.Configuration(
    host: "localhost",
    port: 5432,
    username: "postgres",
    password: "secret",
    database: "myapp",
    tls: .prefer(.makeClientConfiguration()),
    options: .init(
        minimumConnections: 2,
        maximumConnections: 10,
        connectionIdleTimeout: .minutes(5),
        keepAliveBehavior: .init(frequency: .seconds(30))
    )
)

let client = PostgresClient(configuration: config)

TLS Options

swift
// Disable TLS (local development)
tls: .disable

// Prefer TLS (use if available)
tls: .prefer(.makeClientConfiguration())

// Require TLS (production)
tls: .require(.makeClientConfiguration())

Unix Domain Socket

swift
let config = PostgresClient.Configuration(
    unixSocketPath: "/var/run/postgresql/.s.PGSQL.5432",
    username: "postgres",
    database: "myapp"
)

Error Handling

swift
do {
    let rows = try await client.query("SELECT * FROM users WHERE id = \(id)")
    // ...
} catch let error as PSQLError {
    switch error.code {
    case .uniqueViolation:
        throw MyError.duplicateEntry
    case .foreignKeyViolation:
        throw MyError.invalidReference
    default:
        throw error
    }
}

Streaming Large Results

Results are streamed automatically with backpressure:

swift
let rows = try await client.query("SELECT * FROM large_table")

// Process one row at a time - memory efficient
for try await row in rows {
    let data = try row.decode(LargeData.self)
    try await processData(data)
}

Supported Types

Swift TypePostgreSQL Type
Int, Int32, Int64integer, bigint
Float, Doublereal, double precision
Stringtext, varchar
Boolboolean
Datetimestamp, timestamptz
Databytea
UUIDuuid
[T]array
JSON typesjson, jsonb

Reference Files

Load these files as needed for specific topics:

  • references/postgres-patterns.md - String interpolation for SQL safety, protocol hierarchy for encoding/decoding, variadic generics for row decoding, prepared statement patterns, hierarchical state machines, backpressure-aware row streaming, COPY FROM bulk loading, wire protocol encoding

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Postgres Nio AI skill do?

Expert guidance on using PostgreSQL with Swift. Use when developers mention: (1) PostgreSQL or Postgres in Swift, (2) postgres-nio library, (3) SQL queries in Swift, (4) PostgreSQL connection pooling, (5) prepared statements, (6) type-safe database access, (7) bulk loading or COPY FROM, (8) PostgresClient or PostgresConnection.

Why use Postgres Nio on TypingMind?

Because you install it once and use it with any model. Postgres Nio is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Postgres Nio in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wendylabsinc/claude-skills/tree/main/postgres-nio. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Postgres Nio?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Postgres Nio?

As many as you like. As long as a model supports skills, you can use Postgres Nio with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Postgres Nio AI skill free?

It is published on GitHub by wendylabsinc. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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