dsh-lip-pick
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-lip-pick
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-lip-pick in the DeepSeek Harness terminal to install this plugin; the source repository is available at https://github.com/uckkk/dsh-lip-pick.
About this plugin
Picking a lipstick might seem trivial, but when you spend a few minutes every morning staring at a drawer full of shades without reaching a decision, the accumulated cost adds up. dsh-lip-pick is a lightweight plugin designed to eliminate that small daily friction: pass in a few simple parameters and it returns a ready-to-wear everyday makeup pairing, collapsing a minutes-long waffle into a single confident recommendation.
The entire plugin is written in pure Node.js with zero network calls and no dependency on external model endpoints. It runs perfectly in a fully offline sandbox, which means no API keys to manage, no third-party credentials to guard, and no flaky connections to debug. For developers who value a minimal, reproducible toolchain, this dependency-free design makes integration and testing refreshingly straightforward.
It suits anyone who enjoys AI-assisted daily styling while keeping the underlying tooling light and fast. There are no endpoints to configure and no services to keep alive. After installing, you simply invoke the lip_pick tool in your session and let a deterministic workflow settle that small but daily question of which shade to wear today.
Use Cases
- Get a ready-to-wear daily lipstick and makeup pairing before heading out each morning
- Invoke the lip_pick tool instantly in a fully offline or no-network environment
- Use a deterministic, API-free lightweight endpoint to settle daily styling decisions
Best For
- Developers who enjoy AI-assisted daily styling while keeping tools light and fast
- Engineers who prefer zero-dependency, reproducible toolchains
- Everyday users who face a daily decision on which lipstick and look to wear
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