Meshy AI skill for OpenClaw
What this skill does
Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally. Use when the user wants Meshy generations, needs polling async tasks, and especially when they want the resulting OBJ saved to disk. Requires MESHY_API_KEY in the environment.
The Meshy AI 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 Meshy AI 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
clawdbot-meshyai-skilland 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 Meshy AI skill with a single command:
openclaw skills add clawdbot-meshyai-skill
This pulls clawdbot-meshyai-skill from ClawHub and installs it into ~/.openclaw/skills/clawdbot-meshyai-skill/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the Meshy AI skill
Once installed, the Meshy AI 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
Meshy AI 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
clawdbot-meshyai-skill-0.1.0.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/clawdbot-meshyai-skill/(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 Meshy AI?
Install Meshy AI in the OpenClaw Easy desktop app by opening the Skills panel, searching for clawdbot-meshyai-skill, and clicking Install. From a terminal you can run: openclaw skills add clawdbot-meshyai-skill. Either way the skill is placed in ~/.openclaw/skills/clawdbot-meshyai-skill/.
Is the Meshy AI 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 Meshy AI do?
Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally. Use when the user wants Meshy generations, needs polling async tasks, and especially when they want the resulting OBJ saved to disk.
Related: more automation & workflows skills
If the Meshy AI 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