meme-digger skill for OpenClaw

What this skill does

网络梗考古与科普（刨根问底式）。连接贴吧（Tieba）与 B 站（Bilibili），针对用户问到的网络梗/抽象话/热梗，读取 B 站搜索、视频详情与评论区（含评论里的梗图），从评论中提取线索做发散式搜索，把 B 站、贴吧、评论、梗图、来源考证分文件收集，最后整合成一份带文字说明、梗图、来源介绍的综合科普报告。当用户问"这是什么梗 / 这个梗什么来历 /.

The meme-digger skill 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.

How to install the meme-digger 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 meme-digger 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 meme-digger skill with a single command:

openclaw skills add meme-digger

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

How to use the meme-digger skill

Once installed, the meme-digger 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

meme-digger 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:

1. Click the Download skill .zip button above to grab meme-digger-0.1.0.zip directly from our S3 mirror.
2. Unzip into ~/.openclaw/skills/meme-digger/ (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 meme-digger?

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

Is the meme-digger 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 meme-digger do?

网络梗考古与科普（刨根问底式）。连接贴吧（Tieba）与 B 站（Bilibili），针对用户问到的网络梗/抽象话/热梗，读取 B 站搜索、视频详情与评论区（含评论里的梗图），从评论中提取线索做发散式搜索，把 B 站、贴吧、评论、梗图、来源考证分文件收集，最后整合成一份带文字说明、梗图、来源介绍的综合科普报告。当用户问"这是什么梗 / 这个梗什么来历 /.

Related: more other skills skills

If the meme-digger skill looks useful, you may also want to check out other other skills skills in the OpenClaw catalog:

• Dlazy Recraft V3 Svg ⬇ 2.1K
• PC Master ⬇ 2.1K
• WorldSim ⬇ 2.1K
• OpenClaw Agent Mesh ⬇ 2.1K
• DOCX Formatter ⬇ 2.1K

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.

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.