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dsh-split-plan

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-split-plan

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-split-plan in DeepSeek Harness to install; the source is at https://github.com/uckkk/dsh-split-plan .

About this plugin

How do you actually structure a split? Push-pull-legs versus upper-lower versus a three-day full body, with three or five sessions a week, the answers live scattered across forum threads and short videos, and piecing them together is slow and often contradictory. dsh-split-plan keeps things simple: you pass in your parameters and it returns a structured split strength-training plan, skipping the research-and-guessing cycle.

The whole tool is pure Node with zero network calls and no external runtime dependencies. It runs fully offline, nothing leaves your machine, and it works just as well behind a restrictive firewall or on an airplane. Deployment and debugging cost you almost nothing.

If you are a self-directed lifter who wants a quick starting point instead of another blank spreadsheet, or a personal trainer who needs a fast first-draft plan for a new client, dsh-split-plan offers a lightweight, plug-and-play approach: parameters in, a concrete split out, and the fine-tuning is left to your coaching judgment.

Use Cases

  • Quickly generate a push-pull-legs or upper-lower split plan
  • Produce a training plan offline behind a firewall or with no internet
  • Draft an initial split plan for a new client and refine from there

Best For

  • Self-directed strength athletes
  • Personal trainers who need a fast first-draft plan
  • Developers who favor lightweight offline tooling