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dsh-assistant-optimization

Client Updated 2026.08.27

Run the following command in DeepSeek Harness:

dsh plugin install qianshe/dsh-assistant-optimization

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

To install this plugin in DeepSeek Harness, run the command `dsh plugin install qianshe/dsh-assistant-optimization` from the source repository at https://github.com/qianshe/dsh-assistant-optimization.

About this plugin

When using DSH's web profile, model output can often be cluttered by verbose chain-of-thought, and prompts may not be as effective as they could be. Additionally, recovering from conversation interruptions or errors can be cumbersome, disrupting the overall workflow.

The dsh-assistant-optimization plugin addresses these issues with a suite of intelligent features. It automatically collapses reasoning into a collapsible 'Think' block for cleaner output, renders Mermaid diagrams as interactive SVGs for enhanced visualization, shows edit diff counts for quick insight, offers one-click prompt enhancement to refine drafts into clearer instructions, provides resume-from-breakpoint functionality to easily resume interrupted conversations, folds completed turn processes to maintain a tidy interface, and introduces semantic search via context_search to locate code from vague descriptions.

This plugin is ideal for all DSH web profile users, especially developers, content creators, and everyday users who frequently work with model output, write complex prompts, or manage long conversations. Whether you're seeking a more efficient workflow or a smoother interaction experience, it can significantly boost your productivity and enjoyment.

Use Cases

  • When model output includes verbose chain-of-thought that hinders readability
  • When needing to render interactive Mermaid diagrams within a conversation
  • When drafting a prompt and wanting a one-click enhancement for clarity

Best For

  • Developers who frequently use DSH web profile
  • Content creators who prioritize conversation efficiency and output readability
  • Everyday users needing to manage complex interaction workflows