Your LinkedIn & Twitter Assistant by Reepl skill for OpenClaw
What this skill does
Manage your LinkedIn presence with Reepl -- create drafts, publish and schedule posts, manage contacts and collections, generate AI images, create carousels.
The Your LinkedIn & Twitter Assistant by Reepl 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 Your LinkedIn & Twitter Assistant by Reepl skill
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
reepland click Install. - 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 Your LinkedIn & Twitter Assistant by Reepl skill with a single command:
openclaw skills add reepl
This pulls reepl from ClawHub and installs it into ~/.openclaw/skills/reepl/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the Your LinkedIn & Twitter Assistant by Reepl skill
Once installed, the Your LinkedIn & Twitter Assistant by Reepl 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
Your LinkedIn & Twitter Assistant by Reepl 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:
- Click the Download skill .zip button above to grab
reepl-1.3.1.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/reepl/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install Your LinkedIn & Twitter Assistant by Reepl?
Install Your LinkedIn & Twitter Assistant by Reepl in the OpenClaw Easy desktop app by opening the Skills panel, searching for reepl, and clicking Install. From a terminal you can run: openclaw skills add reepl. Either way the skill is placed in ~/.openclaw/skills/reepl/.
Is the Your LinkedIn & Twitter Assistant by Reepl 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 Your LinkedIn & Twitter Assistant by Reepl do?
Manage your LinkedIn presence with Reepl -- create drafts, publish and schedule posts, manage contacts and collections, generate AI images, create carousels.
Related: more automation & workflows skills
If the Your LinkedIn & Twitter Assistant by Reepl 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.
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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models