植物养护提醒：在对话里查养护要点与浇水节奏
SkillHub 社区技能「植物养护提醒」（@user_70c2f807/plant-care-reminder，v1.0.0，life-service）通过 SKILL.md 引导 Agent 在用户询问养花、浇水、光照等问题时输出结构化养护建议，无需 API Key。技能支持按植物种类说明浇水施肥与常见问题自查，但明确不支持自动推送提醒、不存储植物信息、不替代专业病害诊断。本文基于官方页面与技能包说明，介绍定位、能力边界，以及用 skillhub CLI 安装到 Cursor 等客户端 skills 目录的步骤与典型对话示例。
Read More记忆曲线提醒：SkillHub 教育类 Agent Skill 安装与内容说明
SkillHub 社区 Skill「记忆曲线提醒」（@user_70c2f807/memory-curve-reminder，v1.0.1，education/学习辅导，requires_api_key=false）页面概述为空。本文依据官方安装文档说明 skillhub CLI 与 install 命令、Cursor/Claude/Codex skills 路径，并写明 v1.0.1 包内 SKILL.md 实际为植物养护提醒（触发词、输出模板、无法自动提醒等限制）。提醒列表名称与包内容不一致，采用前需阅读 SKILL.md。
Read Moredsh-prune-guide: A Plugin That Returns Plant Care Plans Based on Parameters
The DeepSeek Harness plugin `dsh-prune-guide` is a lightweight plant-care plugin with no network dependencies. It provides the `prune_guide` tool, which can generate a local plant-care guide based on the specified parameters. After installation via the terminal, users can invoke the tool in a session to retrieve a guide. The plugin is built with Node.js, requires specific dependencies, and runs with the permissions of the current process.
Read Moredsh-repotting: Repotting Recommendations
DeepSeek Harness (DSH) aims to realize the "everything is a plugin" development philosophy. For plant care scenarios, community developer uckkk maintains the `dsh-repotting` plugin, which provides repotting guidance. The tool is implemented in pure Node.js, requires no network requests, and outputs recommendations by registering the `repotting` tool. The installation command is `dsh plugin add github:uckkk/dsh-repotting`. It runs with the permissions of the current process during use, so users should check the source code and license. The plugin depends on a specific version of the DeepSeek library and is suitable for users who need automated plant care recommendations.
Read Moredsh-repot-check: Repotting Detection
The `dsh-repot-check` plugin for the DeepSeek Harness (DSH) is designed specifically for plant care scenarios. Its core functionality is to determine through logical evaluation whether a plant needs to be repotted and to provide a care plan. Implemented in pure Node.js with no network dependencies, the plugin aims to provide the DSH ecosystem with lightweight local tooling support. Installation requires ensuring environment version compatibility, and the plugin is released under the MIT open-source license.
Read Moredsh-pest-plan: Pest and Disease Diagnosis and Plant Care Plan
`dsh-pest-plan` is a plugin in the DeepSeek Harness ecosystem designed specifically for local plant health diagnosis. Maintained by uckkk and implemented in a pure Node environment, it can run without internet access, diagnose pests and diseases based on input parameters, and provide care plans. Users can install it via CLI commands and invoke its registered tools in a session. The plugin is released under the MIT license, making it suitable for offline environments and scenarios that require offline operation.
Read Moredsh-fert-plan: Plant Care Plan Plugin
`dsh-fert-plan` is a plugin for DeepSeek Harness (DSH) designed to provide agents with plant care plans through local computation. It is implemented in pure Node.js, has no network dependencies, and registers a `fert_plan` tool for agents to call. Before use, install the required dependencies and ensure your DSH version meets the requirements. It is suitable for plant care scenarios that do not rely on real-time data, and a security note recommends reviewing the source code.
Read Moredsh-cutting-guide: Cutting Propagation Guide Plugin
The `dsh-cutting-guide` plugin for DeepSeek Harness (DSH) follows the “everything is a plugin” philosophy, providing a localized solution for vertical-domain knowledge retrieval. Maintained by uckkk, it is a pure Node.js local tool that runs without network requests. It registers a `cutting_guide` tool that returns a care plan for plant cutting propagation based on the supplied parameters. After installation, it can be used with no additional configuration, making it suitable for offline or strictly network-restricted scenarios where developers can safely access localized plant care guidelines.
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