Introduction

The design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” When building agents or workflows, if you need to generate a specific training regimen (for example, a split training plan), hard-coding it directly in code or writing complex logic increases maintenance costs. The dsh-split-plan plugin provides this capability, focusing on regimen generation needs in model inference scenarios.

Plugin Introduction

dsh-split-plan is a DSH plugin maintained by user uckkk. Its core role is to return a strength training regimen based on parameters. The plugin is developed with Node.js, does not rely on network requests, and is suitable for scenarios that require quickly obtaining a training regimen in a local environment.

Core Features

  • Return a strength training regimen based on parameters

Installation and Enablement

Run the following command in the command line to enable this plugin:

dsh plugin add github:uckkk/dsh-split-plan

Typical Usage

After installation, the plugin registers the corresponding tools in the session. You can directly call the tool registered by this plugin to obtain a split training regimen.

Applicable Scenarios and Notes

  • Applicable Scenarios: Suitable for agents or workflows that need to automatically generate strength training plans.
  • Permissions and Security: The plugin runs with the current DSH process permissions. Before use, it is recommended to check its source code and license (MIT) to ensure it meets your security and compliance requirements.

Summary

This tool provides lightweight training regimen generation capabilities to the DSH ecosystem. For more plugin information or feedback, please visit the plugin catalog or view the GitHub repository.