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dsh-furniture-care

Web Tools Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-furniture-care

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

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

About this plugin

In humid coastal cities or during the rainy season, solid-wood cabinets and under-bed storage boxes can start smelling musty overnight. The issue is rarely dirt; it is a mismatch between ambient humidity and the care you are actually giving your furniture. dsh-furniture-care turns that guesswork into a single parameterized call: describe your living conditions and receive a targeted mold-prevention and dehumidification plan.

The plugin registers a tool called furniture_care whose logic is implemented entirely in pure Node.js with zero runtime network dependencies and no third-party service calls. This keeps plan generation fast, deterministic, and safe to invoke offline or inside longer conversation flows without worrying about flaky connections.

It is a good fit for anyone living in persistently humid regions, households with large wood or leather furniture pieces, or renters who simply want a practical, actionable moisture-control checklist for the home without needing to memorize dehumidifier settings or humidity thresholds. Pass in your key parameters, and walk away with a ready-to-execute furniture-care plan.

Use Cases

  • Solid-wood cabinets in the living room smell musty after the rainy season and you need a targeted dehumidification plan
  • Just moved into a rental in a humid coastal city and want basic furniture care guidance
  • Putting together an actionable moisture-control checklist for family members or tenants

Best For

  • Users in southern or coastal high-humidity regions with solid-wood furniture at home
  • People who want to share a practical moisture-control guide with tenants or family members
  • Anyone who prefers lightweight, offline tool calls with zero network dependency