Pywayne Helper for Openclaw

A robust configuration management utility for Python projects that enables seamless parameter sharing across files and processes using centralized YAML files.

wangyendt
v0.1.0
Feb 16, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install helper

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install helper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Pywayne Helper?

Pywayne Helper is a specialized developer tool designed to simplify project configuration management by providing a centralized mechanism for sharing parameters across different processes and files. It eliminates the friction of manual configuration passing by utilizing a unified YAML structure, making it a valuable addition to the Openclaw Skills ecosystem.

The tool is particularly effective for complex Python applications where modules need to synchronize dynamic data, such as temporary tokens or environment settings, without relying on heavy databases or complex message brokers. It features automatic project root detection and a sophisticated waiting mechanism that allows one process to poll for configuration values set by another, ensuring data consistency in asynchronous environments.

Pywayne Helper Use Cases

  • Multi-process collaboration where Process A generates configuration data needed by Process B.
  • Distributed task execution where a master process defines parameters for worker subprocesses.
  • Dynamic parameter passing for temporary values like authentication tokens or session IDs.
  • Centralizing configuration for large-scale Python projects to maintain a single source of truth across various modules.

How Pywayne Helper Works

  1. Initialize the Helper instance which automatically identifies the project's root directory or accepts a custom path.
  2. Create or access a centralized YAML file (typically common_info.yaml) stored at the project root.
  3. Write configuration parameters using nested keys to maintain a clean and organized data hierarchy.
  4. Access parameters from any module or process, utilizing the built-in polling mechanism to wait for values to become available.
  5. Manage the lifecycle of these parameters through automated update and deletion methods provided by the helper.

Pywayne Helper Setup

Install the necessary library and initialize the helper within your Python environment as shown below:

from pywayne.helper import Helper

# Initialize and automatically detect project root
helper = Helper()

# Or initialize with a specific path and custom config filename
helper = Helper('/path/to/project', config_file_name='custom_config.yaml')

Pywayne Helper Data Schema & Taxonomy

The skill organizes metadata using a standard YAML taxonomy, allowing for deeply nested configurations. Below is the typical structure used within Openclaw Skills projects:

Level Description Example
Module The top-level organizational unit for configurations database, api, shared
Key The specific parameter name within a module host, token, temp_id
Value The actual data stored (strings, integers, or dicts) 127.0.0.1, 5432
Path The physical location of the config file {project_root}/common_info.yaml

Pywayne Helper Advanced Features

  • Automatic Project Root Detection: Intelligently locates the base directory of the calling script to ensure consistent file paths.
  • Cross-Process Synchronization: Built-in max_waiting_time parameter allows processes to wait for configurations generated asynchronously.
  • Nested Key Management: Supports arbitrary levels of nesting for complex configuration trees using a simple variadic key interface.
  • Concurrency-Aware Updates: Uses an update-based writing mode to reduce the risk of data loss during simultaneous write operations.
  • Integrated Debugging: Provides optional verbose output to track configuration access and potential bottlenecks in real-time.

SKILL.md


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