Home › Skills › Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多)
Automation & Workflows

Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill for OpenClaw

⬇ 1.8K downloads ★ 0 stars Version 1.0.16 Rank #9782 of 10,000+

What this skill does

AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%). Optionally fuses soil-moisture sensor data to discriminate dehydration (underwatering) vs. waterlogging (root hypoxia), and auto-triggers watering or drainage prompts for precision irrigation. Scenarios: smart pots, home gardening, greenhouses, plant factories.

The Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill is part of the Automation & Workflows category — automation and workflow skills that schedule, trigger, and orchestrate tasks. You can install it on its own or alongside other automation & workflows skills from the OpenClaw catalog.

The Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill is ranked #9782 by downloads in the OpenClaw skill catalog (1.8K total downloads, 0 stars). It belongs to the Automation & Workflows category alongside 999 other top-10000 skills.

How to install the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for smyx-plant-wilting-quantification-analysis and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill with a single command:

openclaw skills add smyx-plant-wilting-quantification-analysis

This pulls smyx-plant-wilting-quantification-analysis from ClawHub and installs it into ~/.openclaw/skills/smyx-plant-wilting-quantification-analysis/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill

Once installed, the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Turning images into video

Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) works with images. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — turns stills into motion — pans and transitions, synced captions, and a vertical export for short-form feeds.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab smyx-plant-wilting-quantification-analysis-1.0.16.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/smyx-plant-wilting-quantification-analysis/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多)?

Install Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) in the OpenClaw Easy desktop app by opening the Skills panel, searching for smyx-plant-wilting-quantification-analysis, and clicking Install. From a terminal you can run: openclaw skills add smyx-plant-wilting-quantification-analysis. Either way the skill is placed in ~/.openclaw/skills/smyx-plant-wilting-quantification-analysis/.

Is the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) do?

AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%).

Related: more automation & workflows skills

If the Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) skill looks useful, you may also want to check out other automation & workflows skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

Browse the full OpenClaw skill catalog

This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.

Get OpenClaw Easy — Free

Install Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化(缺水/水多) and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.

Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models