HomeSkills › Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能
Developer Tools

Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能

1.6K downloads 3 stars Version 1.0.11 Rank #9914 of 10,000+

What this skill does

Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents.

Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 is ranked #9914 by downloads in the OpenClaw skill catalog (1.6K total downloads, 3 stars). It belongs to the Developer Tools category alongside 3373 other top-10000 skills.

How to install Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能

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-infant-cry-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 Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 with a single command:

openclaw skills add smyx-infant-cry-analysis

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

How to use Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能

Once installed, Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 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.

Putting audio in front of an audience

Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 works with audio. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — pairs audio with footage or generated visuals, burns synced captions, and exports a finished short.

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 .zip button above to grab smyx-infant-cry-analysis-1.0.11.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/smyx-infant-cry-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 Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能?

Install Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 in the OpenClaw Easy desktop app by opening the Skills panel, searching for smyx-infant-cry-analysis, and clicking Install. From a terminal you can run: openclaw skills add smyx-infant-cry-analysis. Either way the skill is placed in ~/.openclaw/skills/smyx-infant-cry-analysis/.

Is Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 free?

Yes. Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 do?

Detects baby cries via audio AI in real-time, analyzes causes, and precisely identifies needs like hunger, tiredness, pain, discomfort, or irritability to assist new parents.

Related: more developer tools skills

If Smart Baby Cry Analysis Skill | 婴儿哭声智能解析技能 looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

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