dsh-wash-calendar
Run the following command in DeepSeek Harness:
dsh plugin install zimai233/dsh-wash-calendar
Paste the following prompt into your AI chat to install this plugin:
Install it in DeepSeek Harness by running dsh plugin install zimai233/dsh-wash-calendar; the full source is available at https://github.com/zimai233/dsh-wash-calendar
About this plugin
The health-and-habit category in the DSH plugin ecosystem has been empty for a long time, leaving recurring chores like watering plants, feeding fish, refilling medication, and exercising to external calendars or manual notes. dsh-wash-calendar distills the simplest date math into four agent-callable tools that turn the conversation window into a habit schedule, with no frontend page required.
Each tool answers one concrete question. habit_next computes the next due date and days remaining. habit_schedule enumerates every scheduled date inside an inclusive range. habit_check verifies whether a specific date hits the cycle and reports days since the anchor. habit_advice returns a short plain-text nudge such as wash today, N days to go, or overdue by N days please act soon. All dates follow the YYYY-MM-DD ISO format, intervals range from one to seven days, and the package is pure ESM with zero build steps.
Built for any DeepSeek Harness user who wants to manage recurring routines entirely through natural-language conversation. The model is not limited to washing. Any task that fits the last-occurrence-plus-fixed-interval pattern plugs in seamlessly, letting you ask for schedules, verify dates, and receive overdue alerts without ever switching to another app.
Use Cases
- Ask the agent in plain language whether a habit is due today and get an instant nudge with days remaining
- Enumerate all scheduled dates in a month to plan watering, pet care, and medication refills in advance
- Check if a specific date hits the cycle and receive a plain-text overdue reminder when past due
Best For
- DSH users who want to manage recurring routines entirely through conversation without switching apps
- Users who prefer natural-language agent interaction and plain-text reminders over frontend calendar UIs
- Individuals tracking any repeating task that fits the last-occurrence-plus-fixed-interval model, from pet care to medication
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