Swift Nio logo

Swift Nio

Organization
wendylabsinc
swift-nio

Expert guidance on SwiftNIO best practices, patterns, and implementation. Use when developers mention: (1) SwiftNIO, NIO, ByteBuffer, Channel, ChannelPipeline, ChannelHandler, EventLoop, NIOAsyncChannel, or NIOFileSystem, (2) EventLoopFuture, ServerBootstrap, or DatagramBootstrap, (3) TCP/UDP server or client implementation, (4) ByteToMessageDecoder or wire protocol codecs, (5) binary protocol parsing or serialization, (6) blocking the event loop issues.

Overview

Publisherwendylabsinc
Repositoryclaude-skills
Skill nameswift-nio
Stars
62
Forks
5
Bundled files
5
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.

  • 5 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 Swift 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/swift-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/swift-nio .claude/skills/swift-nio
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swift 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 Swift 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 Swift 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.

Swift NIO

Overview

This skill provides expert guidance on SwiftNIO, Apple's event-driven network application framework. Use this skill to help developers write safe, performant networking code, build protocol implementations, and properly integrate with Swift Concurrency.

Agent Behavior Contract (Follow These Rules)

  1. Analyze the project's Package.swift to determine which SwiftNIO packages are used.
  2. Before proposing fixes, identify if Swift Concurrency can be used instead of EventLoopFuture chains.
  3. Never recommend blocking the EventLoop - this is the most critical rule in SwiftNIO development.
  4. Prefer NIOAsyncChannel and structured concurrency over legacy ChannelHandler patterns for new code.
  5. Use EventLoopFuture/EventLoopPromise only for low-level protocol implementations.
  6. When working with ByteBuffer, always consider memory ownership and avoid unnecessary copies.

Quick Decision Tree

When a developer needs SwiftNIO guidance, follow this decision tree:

  1. Building a TCP/UDP server or client?

    • Read references/Channels.md for Channel concepts and NIOAsyncChannel
    • Use ServerBootstrap for TCP servers, DatagramBootstrap for UDP
  2. Understanding EventLoops?

    • Read references/EventLoops.md for event loop concepts
    • Critical: Never block the EventLoop!
  3. Working with binary data?

    • Read references/ByteBuffer.md for buffer operations
    • Prefer slice views over copies when possible
  4. Implementing a binary protocol?

    • Read references/ByteToMessageCodecs.md for codec patterns
    • Use ByteToMessageDecoder and MessageToByteEncoder
  5. Migrating from EventLoopFuture to async/await?

    • Use .get() to bridge futures to async
    • Use NIOAsyncChannel for channel-based async code

Triage-First Playbook (Common Issues -> Solutions)

  • "Blocking the EventLoop"

    • Offload CPU-intensive work to a dispatch queue or use NIOThreadPool
    • Never perform synchronous I/O on an EventLoop
    • See references/EventLoops.md
  • Type mismatch crash in ChannelPipeline

    • Ensure InboundOut of handler N matches InboundIn of handler N+1
    • Ensure OutboundOut of handler N matches OutboundIn of handler N-1
    • See references/Channels.md
  • Implementing binary protocol serialization

    • Use ByteToMessageDecoder for parsing bytes into messages
    • Use MessageToByteEncoder for serializing messages to bytes
    • Use readLengthPrefixedSlice and writeLengthPrefixed helpers
    • See references/ByteToMessageCodecs.md
  • Memory issues with ByteBuffer

    • Use readSlice instead of readBytes when possible
    • Remember ByteBuffer uses copy-on-write semantics
    • See references/ByteBuffer.md
  • Deadlock when waiting for EventLoopFuture

    • Never .wait() on a future from within the same EventLoop
    • Use .get() from async contexts or chain with .flatMap

Core Patterns Reference

Creating a TCP Server (Modern Approach)

swift
let server = try await ServerBootstrap(group: MultiThreadedEventLoopGroup.singleton)
    .bind(host: "0.0.0.0", port: 8080) { channel in
        channel.eventLoop.makeCompletedFuture {
            try NIOAsyncChannel(
                wrappingChannelSynchronously: channel,
                configuration: .init(
                    inboundType: ByteBuffer.self,
                    outboundType: ByteBuffer.self
                )
            )
        }
    }

try await withThrowingDiscardingTaskGroup { group in
    try await server.executeThenClose { clients in
        for try await client in clients {
            group.addTask {
                try await handleClient(client)
            }
        }
    }
}

EventLoopGroup Best Practice

swift
// Preferred: Use the singleton
let group = MultiThreadedEventLoopGroup.singleton

// Get any EventLoop from the group
let eventLoop = group.any()

Bridging EventLoopFuture to async/await

swift
// From EventLoopFuture to async
let result = try await someFuture.get()

// From async to EventLoopFuture
let future = eventLoop.makeFutureWithTask {
    try await someAsyncOperation()
}

ByteBuffer Operations

swift
var buffer = ByteBufferAllocator().buffer(capacity: 1024)

// Writing
buffer.writeString("Hello")
buffer.writeInteger(UInt32(42))

// Reading
let string = buffer.readString(length: 5)
let number = buffer.readInteger(as: UInt32.self)

Reference Files

Load these files as needed for specific topics:

  • EventLoops.md - EventLoop concepts, nonblocking I/O, why blocking is bad
  • Channels.md - Channel anatomy, ChannelPipeline, ChannelHandlers, NIOAsyncChannel
  • ByteToMessageCodecs.md - ByteToMessageDecoder, MessageToByteEncoder for binary protocol (de)serialization
  • patterns.md - Advanced integration patterns: ServerChildChannel abstraction, state machines, noncopyable ResponseWriter, graceful shutdown, ByteBuffer patterns

Best Practices Summary

  1. Never block the EventLoop - Offload heavy work to thread pools
  2. Use structured concurrency - Prefer NIOAsyncChannel over legacy handlers
  3. Use the singleton EventLoopGroup - MultiThreadedEventLoopGroup.singleton
  4. Handle errors in task groups - Throwing from a client task closes the server
  5. Mind the types in pipelines - Type mismatches crash at runtime
  6. Use ByteBuffer efficiently - Prefer slices over copies

Use ByteBuffer for Binary Protocol Handling

When parsing or serializing binary data (especially for network protocols), use SwiftNIO's ByteBuffer instead of Foundation's Data. ByteBuffer provides:

  • Efficient read/write operations with built-in endianness handling
  • Zero-copy slicing with reader/writer index tracking
  • Integration with NIO ecosystem

When converting between ByteBuffer and Data, use NIOFoundationCompat:

swift
import NIOFoundationCompat

// ByteBuffer to Data
let data = Data(buffer: byteBuffer)

// Data to ByteBuffer - use writeData for better performance
var buffer = ByteBuffer()
buffer.writeData(data)  // Faster than writeBytes(data)

Bad - Using Data with manual byte manipulation:

swift
var buffer = Data()
var messageLength: UInt32?

for try await message in inbound {
    buffer.append(message)

    if messageLength == nil && buffer.count >= 4 {
        messageLength = UInt32(buffer[0]) << 24
            | UInt32(buffer[1]) << 16
            | UInt32(buffer[2]) << 8
            | UInt32(buffer[3])
        buffer = Data(buffer.dropFirst(4))  // Copies data!
    }
}

Good - Using ByteBuffer:

swift
var buffer = ByteBuffer()

for try await message in inbound {
    buffer.writeBytes(message)

    if buffer.readableBytes >= 4 {
        let readerIndex = buffer.readerIndex
        guard let messageLength = buffer.readInteger(endianness: .big, as: UInt32.self) else {
            continue
        }

        if buffer.readableBytes >= messageLength {
            guard let bytes = buffer.readBytes(length: Int(messageLength)) else { continue }
            // Process bytes...
        } else {
            // Not enough data yet, reset reader index
            buffer.moveReaderIndex(to: readerIndex)
        }
    }
}

Binary Data Types Comparison

There are several "bag of bytes" data structures in Swift:

TypeSourcePlatformNotes
Array<UInt8>stdlibAllSafe, growable, good for Embedded Swift
InlineArray<N, UInt8>stdlib (6.1+)AllFixed-size, stack-allocated, no heap allocation
DataFoundationAll (large binary)Not always contiguous on Apple platforms
ByteBufferSwiftNIOAll (requires NIO)Best for network protocols, not Embedded
Span<UInt8>stdlib (6.2+)AllZero-copy view, requires Swift 6.2+
UnsafeBufferPointer<UInt8>stdlibAllUnsafe, manual memory management

Recommendations:

  • For iOS/macOS-only projects: Data is fine due to framework integration
  • For SwiftNIO-based projects: ByteBuffer is required for I/O operations
  • For Embedded Swift: [UInt8] and InlineArray
  • For cross-platform APIs: Span<UInt8> (Swift 6.2+) allows any backing type

NIO Channel Pattern with executeThenClose

Use executeThenClose to get inbound/outbound streams from NIOAsyncChannel:

swift
return try await channel.executeThenClose { inbound, outbound in
    let socket = Client(inbound: inbound, outbound: outbound, channel: channel.channel)
    return try await perform(client)
}

Public API with Internal NIO Types

When exposing async sequences that wrap NIO types:

  1. Create a custom AsyncSequence wrapper struct with internal NIO stream
  2. The wrapper's AsyncIterator transforms NIO types to public types
  3. This avoids exposing internal NIO imports in public API

SwiftNIO UDP Notes

  • Use DatagramBootstrap for UDP sockets
  • Messages use AddressedEnvelope<ByteBuffer> containing remote address and data
  • Multicast requires casting channel to MulticastChannel protocol
  • Socket options use SocketOptionValue (Int32) type
  • so_reuseport is only available on Linux

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 Swift Nio AI skill do?

Expert guidance on SwiftNIO best practices, patterns, and implementation. Use when developers mention: (1) SwiftNIO, NIO, ByteBuffer, Channel, ChannelPipeline, ChannelHandler, EventLoop, NIOAsyncChannel, or NIOFileSystem, (2) EventLoopFuture, ServerBootstrap, or DatagramBootstrap, (3) TCP/UDP server or client implementation, (4) ByteToMessageDecoder or wire protocol codecs, (5) binary protocol parsing or serialization, (6) blocking the event loop issues.

Why use Swift Nio on TypingMind?

Because you install it once and use it with any model. Swift 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 Swift Nio in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wendylabsinc/claude-skills/tree/main/swift-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 Swift 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 Swift Nio?

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

Is the Swift 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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