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dsh-promptkit

Model Inference Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install fsrmqi/dsh-promptkit

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

Fetch the plugin source from https://github.com/fsrmqi/dsh-promptkit and run dsh plugin install fsrmqi/dsh-promptkit to complete the installation inside DeepSeek Harness.

About this plugin

Prompt drafts are often vague and loosely structured, yet you still want them polished without the model drifting off-topic or inventing deliverables. dsh-promptkit sits inside DeepSeek Harness and gives you a one-click ✦ Enhance button: your draft is refined into a clearer, more actionable prompt in the preview panel while strictly preserving the original intent and scope. Semantic enhancement reuses the model already configured in DSH—no extra API key needed—and a local lightweight mode works entirely offline with zero telemetry.

Core capabilities include a library of 22 thinking methods (Socratic questioning, first principles, steel-man, and more) that are recommended rather than imposed; a local PromptKit Vault for searching, grouping, version-diffing, and exporting drafts; an optional five-dimension diagnosis (clarity, hidden premises, falsifiability, actionability, context fit); and three strength levels that control wording detail only, never task scope.

It is built for developers and AI engineers who write and iterate prompts frequently inside DSH, want a structured pre-send review, need a local library of reusable prompt assets, and care about data privacy with zero telemetry and local-only storage.

Use Cases

  • One-click enhancement of raw prompt drafts into structured actionable prompts
  • Matching one of 22 thinking methods to refine prompt reasoning
  • Building and versioning a local prompt vault for reuse

Best For

  • Developers who write and iterate prompts frequently in DSH
  • AI engineers who need a structured pre-send review and value data privacy
  • Team leads building a reusable prompt asset library