python-multi-process-worker
CommunityDeploy robust multi-process Python workers for parallel data collection and processing.
Authoraivos-xie
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the deployment and management of multi-process Python workers, enabling parallel data collection, web scraping, and batch processing with shared state management.
Core Features & Use Cases
- Multi-Process Workers: Build parallel workers using Python's
multiprocessingmodule. - Shared State Management: Use
Manager().Value,Manager().Lock, andManager().Eventfor shared state. - Watchdog Monitoring: Set up watchdog scripts to monitor and restart worker processes if needed.
- Resource Management: Provide guidelines for optimal process count based on server RAM.
Quick Start
Deploy the python-multi-process-worker skill on a remote server to create and manage multi-process workers for parallel data collection tasks.
Dependency Matrix
Required Modules
multiprocessing
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: python-multi-process-worker Download link: https://github.com/aivos-xie/hermes-skills/archive/main.zip#python-multi-process-worker Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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