Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 skill for OpenClaw

What this skill does

Based on computer vision, automatically detects coughing, phlegm, and wheezing frequency, counts the frequency of episodes, used for early health anomaly alerts, helping to detect respiratory diseases in a timely manner.

The Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 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.

How to install the Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 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-respiratory-symptom-recognition-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 Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 skill with a single command:

openclaw skills add smyx-respiratory-symptom-recognition-analysis

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

How to use the Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 skill

Once installed, the Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 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.

Manual install (advanced)

If you prefer manual installation:

1. Click the Download skill .zip button above to grab smyx-respiratory-symptom-recognition-analysis-1.0.18.zip directly from our S3 mirror.
2. Unzip into ~/.openclaw/skills/smyx-respiratory-symptom-recognition-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 Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具?

Install Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 in the OpenClaw Easy desktop app by opening the Skills panel, searching for smyx-respiratory-symptom-recognition-analysis, and clicking Install. From a terminal you can run: openclaw skills add smyx-respiratory-symptom-recognition-analysis. Either way the skill is placed in ~/.openclaw/skills/smyx-respiratory-symptom-recognition-analysis/.

Is the Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 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 Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 do?

Based on computer vision, automatically detects coughing, phlegm, and wheezing frequency, counts the frequency of episodes, used for early health anomaly alerts, helping to detect respiratory diseases in a timely manner.

Related: more automation & workflows skills

If the Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具 skill looks useful, you may also want to check out other automation & workflows skills in the OpenClaw catalog:

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• Coda ⬇ 2.4K
• qqbrowser-use ⬇ 2.4K
• Team ⬇ 2.4K
• Historical Data Manager ⬇ 2.4K

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.

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