Why use two separate folders instead of one folder with multiple branches?

Physical separation is more reliable than branch discipline alone. It prevents human errors like zipping the wrong branch for training or running live trades on experimental code.

Is this workflow compatible with Windows environments?

Yes, the provided commands and directory structures are verified for Windows and Git-based environments.

What is the recommended branch strategy for this workflow?

The skill uses a 'stable' branch for production trading and training, and a 'develop' branch for testing new features, with a strict merge-forward requirement.

How does this skill handle private repositories in Google Colab?

Since Colab cannot directly clone private repos easily, this workflow guides you to zip only the verified stable directory for upload, ensuring no development bugs enter your training session.

Trading Dual-Folder Workflow

Name: Trading Dual-Folder Workflow
Author: smith6jt-cop

bysmith6jt-cop

0•

Ciencia de Datos y ML

Manages separate development and production environments for private repository trading models and Colab training.

This skill provides a structured workflow for developers working with private trading repositories that require external training on platforms like Google Colab. By enforcing physical separation between development and production directories, it eliminates the risk of accidentally deploying untested code to live trading environments. The skill includes standardized branch strategies, specific folder naming conventions, and a clear path for promoting features from development to stable production builds, ensuring reliability in sensitive algorithmic trading systems.

Características Principales

01Safe feature promotion logic (develop to stable)

02Physical directory separation for dev and production

03Error-prevention guidelines for live trading

04Private repo training workflow for Google Colab

050 GitHub stars

06Standardized branch-to-folder mapping

Casos de Uso

01Managing dual-branch workflows for high-stakes financial applications

02Training ML trading models on Google Colab using private source code

03Safeguarding live trading environments from experimental development bugs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add smith6jt-cop/skills_registry dual-folder-workflow

For use in Claude.ai and ChatGPT

Download Skill