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dsh-go-sensei preview

dsh-go-sensei

Workflow Updated 2026.09.15

Run the following command in DeepSeek Harness:

dsh plugin install Zhuang-A/dsh-go-sensei

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

Run dsh plugin install Zhuang-A/dsh-go-sensei in the DSH terminal to install this plugin; the source repository is https://github.com/Zhuang-A/dsh-go-sensei .

About this plugin

After a game, what hurts most is not the result itself but not knowing exactly which move went wrong, why, and what concrete alternative would have been better. dsh-go-sensei hands your SGF game record to a Go-teacher persona inside DSH, walking through every problem move: its original intent, the flaw, and a specific better line with follow-up variations.

Follow-up questions come with annotated diagrams (moves numbered 1-9 / A-Z, key stones marked with triangles and other symbols); interactive win-rate and score-difference curves let you click any point to jump to that move; explanations can be written back into a -sensei.sgf copy alongside the original, or exported as a Markdown review report. On Windows the plugin ships with bundled KataGo v1.16.4 and 18b weights so missing analysis data is computed automatically with zero extra downloads; on other platforms or without an engine it degrades gracefully to pure-theory explanations.

Built for amateur players from 18k up to 1d. Explanation depth adapts to the weaker player's level listed in the game record, so beginners get everyday analogies while stronger players get direct strategic discussion. No Java, no separate Go software, no manual engine-path setup: drop an SGF file into a session and ask for a review to get started.

Screenshots

Use Cases

  • Review a finished game move by move to spot big blunders and imprecisions
  • Ask about an alternative for a specific move and see an annotated variation diagram
  • Write explanations back into a -sensei SGF copy or export a Markdown review report

Best For

  • Amateur players (18k-1d) seeking move-by-move coaching without a live teacher
  • Players who want per-move win-rate and score trends visualized as interactive curves
  • SGF-centric players who prefer explanations embedded directly in game-file comments