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Research & Knowledge

twitterapi-io skill for OpenClaw

⬇ 2.3K downloads ★ 1 stars Version 3.8.5 Rank #6232 of 10,000+

What this skill does

Interact with Twitter/X via TwitterAPI.io — search tweets, get user info, post tweets, like, retweet, follow, send DMs, and more.

The twitterapi-io skill is part of the Research & Knowledge category — research and knowledge skills that gather, search, and summarize information. You can install it on its own or alongside other research & knowledge skills from the OpenClaw catalog.

The twitterapi-io skill is ranked #6232 by downloads in the OpenClaw skill catalog (2.3K total downloads, 1 stars). It belongs to the Research & Knowledge category alongside 1884 other top-10000 skills.

How to install the twitterapi-io 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 twitterapi-io 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 twitterapi-io skill with a single command:

openclaw skills add twitterapi-io

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

How to use the twitterapi-io skill

Once installed, the twitterapi-io 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 social content into video

twitterapi-io works with social content. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — renders a script or a set of clips into a finished vertical video with captions, ready to post.

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 twitterapi-io-3.8.5.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/twitterapi-io/ (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 twitterapi-io?

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

Is the twitterapi-io 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 twitterapi-io do?

Interact with Twitter/X via TwitterAPI.io — search tweets, get user info, post tweets, like, retweet, follow, send DMs, and more.

Related: more research & knowledge skills

If the twitterapi-io skill looks useful, you may also want to check out other research & knowledge 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.

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