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Developer Tools

What Should We Do?

3.3K downloads 4 stars Version 2.1.0 Rank #2662 of 10,000+

What this skill does

What should we do? Smart activity discovery with live weather, local movie showtimes, streaming recommendations, game library matching, group profiles, routines & traditions, favorites/blacklists, business hours, ratings filtering, Quick Mode for instant suggestions, calendar integration (Google Calendar + cron reminders), group invites via Telegram/message channels, and RSVP tracking. Helps you stop scrolling and start living. Use when someone says 'what to do', 'bored', 'fun', 'tonight', 'date night', 'things to do', 'activity ideas', 'entertainment', 'adventure', 'what should we do', 'need plans', 'something fun', 'stay home', 'game night', 'movie night', 'put it on the calendar', 'send invites', 'who's coming', or just seems like they need a nudge off the couch. Optional Google Places integration for real nearby suggestions with ratings, hours, and links.

What Should We Do? is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

What Should We Do? is ranked #2662 by downloads in the OpenClaw skill catalog (3.3K total downloads, 4 stars). It belongs to the Developer Tools category alongside 3305 other top-10000 skills.

How to install What Should We Do?

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 whatdo 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 What Should We Do? with a single command:

openclaw skills add whatdo

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

How to use What Should We Do?

Once installed, What Should We Do? 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 video into a finished short

What Should We Do? works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.

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 whatdo-2.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/whatdo/ (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 What Should We Do??

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

Is What Should We Do? free?

Yes. What Should We Do? 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 What Should We Do? do?

What should we do?

Related: more developer tools skills

If What Should We Do? looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

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