orkcore-threading

Answer questions about Orkid threading, concurrency, and operation queues.

35|16|Updated Feb 10, 2013
One-click install
npx skills add https://github.com/tweakoz/orkid --skill orkcore-threading
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orkcore-threading
Source: https://github.com/tweakoz/orkid/tree/main/.claude/skills/orkcore-threading
Command: npx skills add https://github.com/tweakoz/orkid --skill orkcore-threading

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orkid's threading and concurrency concepts can be complex; this skill provides authoritative guidance on how to reason about OPQ, LockedResource, thread pools, futures, and task graphs, to help developers design robust, high-performance multi-threaded components.

Core Features & Use Cases

  • Reference Orkid's threading architecture and API mappings across core headers and implementation files.
  • Clarify when to use Operation Queues, serial queues, and parallel execution patterns in Orkid.
  • Explain synchronization primitives such as LockedResource and futures, with practical usage scenarios.

Quick Start

Explain how to implement and use Orkid's threading primitives, including OPQ, locks, and futures, in a typical application.

Frequently Asked Questions about orkcore-threading

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

FAQPage Schema
How does the Orkid operation queue handle concurrency and parallelism?

The Orkid operation queue (OPQ) manages concurrency by dispatching tasks across thread pools, enabling parallel execution patterns and serial queues. It provides a structured system for asynchronous task graphs and concurrent operations.

What is the best way to synchronize data across multiple threads in Orkid?

To synchronize data across threads in Orkid, use the LockedResource primitive. It provides mutex-based protection for concurrent access, ensuring thread-safe operations when multiple threads interact with shared resources.

How do I implement asynchronous tasks using futures in Orkid?

You implement asynchronous tasks in Orkid by leveraging futures alongside the operation queue. Futures represent pending results from tasks dispatched to the thread pool, allowing non-blocking parallel execution and result retrieval.

When should I use a serial queue versus a thread pool in Orkid?

Use a serial queue in Orkid when tasks must execute sequentially in a strict order, ensuring data consistency. Use the thread pool for independent parallel execution patterns to maximize throughput across concurrent operations.

Does Orkid support task graphs for complex parallel execution scenarios?

Yes, Orkid supports task graphs to manage complex parallel execution scenarios. Task graphs allow developers to define dependencies between concurrent operations, ensuring the operation queue executes asynchronous tasks in the correct sequence.

Where can I find the core API mappings for Orkid threading primitives?

Core API mappings for Orkid threading primitives are located in the project's headers and implementation files, specifically citing ork.core/inc/ork/kernel/opq.h and ork.core/src/kernel/opq.cpp for accurate, code-grounded reference.