pywayne-helper

Centralize YAML configuration sharing across Python processes with automatic project-root detection.

8|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-helper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pywayne-helper
Source: https://github.com/wangyendt/wayne-skills/tree/main/pywayne/helper
Command: npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralizes YAML-based configuration to enable safe cross-process sharing, automatically locating the project root to synchronize parameters without manual wiring.

Core Features & Use Cases

  • Centralized YAML config shared across processes for multi-module workflows.
  • Automatic project-root detection and nested key management for structured config.
  • Wait-and-read mechanism to gracefully synchronize values written by other processes.
  • Lightweight API for set/get/delete of nested keys with minimal boilerplate.

Quick Start

Initialize Helper in your project to auto-detect the root and enable cross-process config sharing.

Frequently Asked Questions about pywayne-helper

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

FAQPage Schema
How do I share YAML configuration across multiple Python processes?

You can share YAML configuration across multiple Python processes by centralizing settings under an auto-detected project root, enabling safe cross-process parameter synchronization without manual wiring.

What is a wait-and-read mechanism for inter-process config sharing?

A wait-and-read mechanism for inter-process config sharing gracefully synchronizes values written by other processes, allowing Python modules to pause and retrieve dynamic parameters only after they become available.

How do I automatically detect the project root for a Python module bootstrap?

To automatically detect the project root for a Python module bootstrap, initialize a helper that locates the root directory dynamically, centralizing YAML configuration for multi-process workflows.

Can I manage nested keys in a YAML config for multi-process workflows?

Yes, you can manage nested keys in a YAML config for multi-process workflows using a lightweight API to set, get, and delete structured parameters with minimal boilerplate.

Does cross-process config sharing work without manual dependency wiring?

Yes, cross-process config sharing works without manual dependency wiring by automatically detecting the project root to synchronize YAML parameters dynamically across Python modules.