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dsh-music-common

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-music-common

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

Run dsh plugin install uckkk/dsh-music-common in the DeepSeek Harness terminal to install this music-theory plugin; the full source repository is https://github.com/uckkk/dsh-music-common.

About this plugin

When an AI chatbot talks about music, it almost always defaults to Western theory. dsh-music-common closes that gap: it registers a single inference tool called music_common that, given a simple set of parameters, returns a structured folk-instrument learning plan. The plan covers practical paths such as scale drilling, rhythmic feel, and progressive exercise sequencing, all delivered inline in a dsh session.

The implementation is pure Node.js with zero network dependencies. There is no external API to configure, no service to keep alive, and no runtime egress. Install the plugin, invoke the registered tool, and the learning plan appears in the conversation. The codebase is small, the license is MIT, and there is no hidden configuration to untangle.

Who is it for? Developers building dsh-powered music-tutoring bots, educators assembling offline knowledge plugins, and anyone who wants a dependable music-theory node in their inference pipeline without adding yet another SaaS dependency. One call, one actionable practice route, no more.

Use Cases

  • Querying a folk-instrument beginner practice route in a dsh session
  • Embedding a music-theory knowledge node into a tutoring bot
  • Retrieving instrument learning plans in an offline environment

Best For

  • Developers building dsh music-tutoring plugins
  • Educators who need offline music-theory knowledge
  • Engineers wanting a local music-theory node in their inference pipeline