HomeSkills › Listen
Other Skills

Listen

1.7K downloads 2 stars Version 1.0.3 Rank #7934 of 10,000+

What this skill does

Repairs garbled speech-to-text input: fixes mistranscribed names, numbers, and commands in voice-dictated messages. Use when a message arrived by voice and a word breaks the sentence, dictation mangles proper nouns, jargon, amounts, times, or email addresses, the user says "no, I said X" or repeats themselves, transcripts contain filler, spoken punctuation, or hallucinated sentences, the user dictates an email or document by voice, or an STT engine (Whisper or cloud speech) needs vocabulary tuning for recurring terms. Not for transcribing audio files or for typed-text typos.

Listen is part of the Other Skills category — OpenClaw skills that extend your agent with new capabilities. You can install it on its own or alongside other other skills skills from the OpenClaw catalog.

Listen is ranked #7934 by downloads in the OpenClaw skill catalog (1.7K total downloads, 2 stars). It belongs to the Other Skills category alongside 1123 other top-10000 skills.

How to install Listen

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 listen 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 Listen with a single command:

openclaw skills add listen

This pulls listen from ClawHub and installs it into ~/.openclaw/skills/listen/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use Listen

Once installed, Listen 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

Listen 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 listen-1.0.3.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/listen/ (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 Listen?

Install Listen in the OpenClaw Easy desktop app by opening the Skills panel, searching for listen, and clicking Install. From a terminal you can run: openclaw skills add listen. Either way the skill is placed in ~/.openclaw/skills/listen/.

Is Listen free?

Yes. Listen 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 Listen do?

Repairs garbled speech-to-text input: fixes mistranscribed names, numbers, and commands in voice-dictated messages.

Related: more other skills skills

If Listen looks useful, you may also want to check out other other skills skills in the OpenClaw catalog:

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 Listen 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