dsh-blender-pick
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-blender-pick
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-blender-pick inside DeepSeek Harness to install this plugin. The source repo is at https://github.com/uckkk/dsh-blender-pick. After installation, invoke the blender_pick tool in your session to get started.
About this plugin
Choosing a blender means juggling wattage, capacity, RPM, blade design, and more. dsh-blender-pick tackles that overload by exposing a single in-session tool called blender_pick: you state the parameters you care about, and it computes a precise recommendation so you skip the endless back-and-forth of comparing specs yourself.
The plugin is written in pure Node.js with zero network dependencies, so calls are fast and deployment is trivial. No API keys, no external services-install it, invoke the tool in your conversation, and get a concrete buying suggestion back.
It is a good fit for consumers narrowing down blender options, kitchen-appliance buying advisors, and e-commerce customer-service teams that need a quick, standardized recommendation flow. Provide a few key parameters and get an actionable suggestion in seconds.
Use Cases
- A shopper compares specs of several blenders and wants a clear pick
- An e-commerce support agent needs a fast, standardized recommendation
- A buying advisor demonstrates trade-offs between wattage and capacity on the spot
Best For
- Consumers overwhelmed by spec sheets
- E-commerce support teams needing consistent phrasing
- In-person appliance buying advisors
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