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ClawBytes - Bite-sized recipes to actually do things with OpenClaw and KiloClaw

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KiloClaw launched on Product Hunt (ranked #1 Product of the Day, #1 Product of the Week) and the team just started a new series, introducing , a cookbook of ready-to-use automation recipes for and .

Let's get cooking.

What's a ClawByte?

It's a single automation you can get running in minutes. They're structured like recipes:

  • name

  • description of what it does

  • tools it needs (ingredients)

  • copy-paste prompt to get started

  • tips for tweaking it to your setup

They're meant to close the gap between "I want my agent to do XYZ" and actually having it do XYZ. Grab a recipe, paste the prompt, wire up the tools, and you're up and running.

Examples

  • Onboarding Buddy: Point your Claw at an unfamiliar repo and it figures out how to get it running. Excellent starter recipe because it turns a messy pile of config files into a concrete setup plan you can follow.

  • Dependency Watchdog: A daily security scanner for your GitHub repos that reads dependency files, cross-references versions against CVE databases and GitHub Security Advisories, and delivers a prioritized Telegram digest grouped by severity - with memory to suppress repeat alerts.

  • Merge Conflict Resolver: Provide a consistent workflow for resolving merge conflicts and preventing recurring conflicts via smaller changes, frequent integration, and safer branching practices.

Any workflow you'd like to automate? Drop by the Discord server:

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The cookbook format addresses exactly the right problem. The gap between "I want my agent to do X" and actually having it do X is where most people give up - not because the capability isn't there, but because the prompting and tool-wiring step isn't documented for their specific use case.

Dependency Watchdog is a great example - cross-referencing dep files against CVE databases with Telegram alerts and memory to suppress repeat notifications is the kind of workflow that takes hours to set up from scratch but maybe 20 minutes with a recipe. 42 recipes already is a solid foundation. Which categories have the most coverage so far - devops, coding workflows, or comms/ops?

Love this idea. One of the biggest barriers with AI coding agents isn't capability it's knowing where to start.

A recipe library makes that much more approachable, especially for developers who want practical workflows instead of spending hours crafting prompts from scratch.

I'd love to see more recipes around web scraping, browser automation, and data pipelines too. 🚀