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dsh-more-agent-presets

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install R-LEI2536/dsh-more-agent-presets

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

Run dsh plugin install R-LEI2536/dsh-more-agent-presets in your terminal to add the plugin to your DeepSeek Harness installation; the source repository is available at https://github.com/R-LEI2536/dsh-more-agent-presets .

About this plugin

DeepSeek Harness ships default prompts tuned specifically for the DeepSeek family of models. If you run Qwen, an older model, or simply prefer a discussion-driven workflow over autonomous execution, the default interaction pattern can leave performance on the table. dsh-more-agent-presets fills that gap with four adapted Agent presets that adjust pacing, planning strategy, and communication style to suit different models and working preferences.

The plugin ships Qwen Code Coding, IFlow Coding, IFlow Creation, and Pair Coding presets. Instead of the default static approval flow where the AI produces a full plan and waits, these presets emphasize multi-round dialogue, step-by-step confirmation, and dynamic collaboration. Installation is handled automatically: the plugin scans its presets directory, performs version-based incremental updates, and uses ownership marker files to guarantee safe cleanup without ever touching presets owned by other packages or created manually by the user.

If you work with non-DeepSeek models like Qwen, prefer a pair-programming style where the AI aligns with you before every non-trivial edit, or want features such as automatic Git context injection and CLI-optimized communication, this plugin is a practical fit. After restarting the Web profile, simply pick the preset you want when creating a new session.

Use Cases

  • Running non-DeepSeek models such as Qwen and needing prompts adapted for DSH
  • Preferring a discussion-driven, step-by-step pair-programming style over fully autonomous execution
  • Wanting IFlow-style CLI interaction, automatic Git context injection, and dynamic environment awareness

Best For

  • Developers using Qwen or older-generation models alongside DeepSeek Harness
  • Coders who prefer collaborative discussion, step-by-step approval, and workflow control
  • Advanced users looking to customize DSH interaction patterns and planning flows