ipc

Implement zero-copy IPC with shared memory and ring buffers in Rust.

15|4|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/cofin/flow --skill ipc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ipc
Source: https://github.com/cofin/flow/tree/main/skills/ipc
Command: npx skills add https://github.com/cofin/flow --skill ipc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides robust and efficient mechanisms for different processes to communicate and share data, crucial for building high-performance, distributed, or concurrent applications.

Core Features & Use Cases

  • Shared Memory: Implement zero-copy data transfer using POSIX shared memory regions.
  • Ring Buffers: Utilize lock-free SPSC (Single-Producer, Single-Consumer) and MPMC (Multi-Producer, Multi-Consumer) ring buffers for high-throughput data streaming.
  • Synchronization Primitives: Leverage platform-specific synchronization tools (like eventfd, futex, Win32 Events) for cross-process coordination.
  • Async Integration: Seamlessly integrate with async runtimes like Tokio for non-blocking I/O operations.
  • Use Case: Building a real-time data processing pipeline where multiple worker processes need to exchange large data buffers quickly and efficiently without the overhead of serialization and copying.

Quick Start

Use the ipc skill to create a shared memory region named 'my_shm' with a size of 4096 bytes.

Frequently Asked Questions about ipc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I achieve zero-copy inter-process communication in Rust?

Zero-copy inter-process communication in Rust is achieved by mapping POSIX shared memory regions and utilizing lock-free SPSC or MPMC ring buffers for high-throughput data streaming.

What synchronization primitives are needed for cross-process coordination?

Cross-process coordination requires platform-specific synchronization primitives like eventfd, futex, or Win32 Events to manage atomic operations and coordinate concurrent access reliably.

How do I set up a shared memory region for high-performance data transfer?

To set up a shared memory region for high-performance data transfer, you map a named POSIX shared memory segment, such as one sized at 4096 bytes, to enable zero-copy data exchange between worker processes.

Can I integrate lock-free ring buffers with Tokio for async inter-process communication?

Yes, lock-free ring buffers integrate seamlessly with async runtimes like Tokio, enabling non-blocking I/O operations for real-time data processing pipelines across multiple processes.

What are the limitations of using shared memory for inter-process communication?

Using shared memory for inter-process communication requires careful management of memory mapping, atomic operations, and platform APIs to prevent race conditions and ensure reliable cross-process operation.

When should I use SPSC versus MPMC ring buffers for concurrent data streaming?

Use SPSC ring buffers for single-producer, single-consumer data streaming and MPMC ring buffers for multi-producer, multi-consumer scenarios to maximize lock-free throughput in concurrent applications.