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dsh-cold-drink

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-cold-drink

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

Run dsh plugin install uckkk/dsh-cold-drink in DeepSeek Harness to install this plugin; the source is available at https://github.com/uckkk/dsh-cold-drink .

About this plugin

Adding a cold-drink recommendation step to an AI workflow often means relying on external databases or third-party APIs, which introduces network dependencies and extra maintenance overhead. dsh-cold-drink eliminates that complexity by providing a fully local tool call that plugs directly into your agent pipeline with zero network requests.

The plugin registers a single tool called cold_drink. Developers pass in parameters such as flavor preference or temperature range and receive a structured drink-making plan in return. The entire implementation is pure Node.js with no third-party runtime dependencies, making deployment and upkeep remarkably lightweight.

It is well suited for developers building food-and-beverage, coffee, or lifestyle chatbots, as well as for teams that want to drop a drink-recommendation node into their workflow without spinning up additional services. Released under the MIT license for unrestricted integration.

Use Cases

  • Recommend and generate cold-drink plans in a chatbot
  • Embed a drink-recommendation node in a workflow without external APIs
  • Return structured drink recipes offline with zero network calls

Best For

  • Developers building food-and-beverage or coffee chatbots
  • Teams that need a drink-recommendation step in their workflow
  • Plugin developers seeking zero network dependencies and lightweight deployment