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I honestly should've been doing this sooner. It's completely changed how I use AI (I'm way more productive now). GitHub has a TON of valuable AI skills, agents, prompts, etc. Recently I've been launching agents to install valuable workflows for me. Try this prompt inside your agent: "Every single... show more
37,336 Aufrufe • vor 14 Tagen •via X (Twitter)
15 Kommentare

I have a similar grok bot routine for skills. Pretty sweet cheat code

So you're building a bot to find bots? Cute.

Reusable skills are where AI starts compounding instead of resetting every chat. My test is simple: can I inspect what the workflow will change, and can I undo it cleanly if the assumptions are wrong?

yo this is a solid hack ngl

Finding good agents makes a huge difference

GitHub scout mode

The post highlights a clever way to leverage AI for productivity gains.

the manual approval step is doing the heavy lifting here, not the GitHub scan

Excellent weekly cron job Miles! I have a similar task in place monitoring X and my saved X bookmarks to find skills or repos that add value in my open claw and Hermes set up.

the weekly report needs a matching review: which approved workflows were actually used, what did they replace, and which ones should be removed. otherwise “productive” quietly becomes a growing maintenance queue.

skills are underrated fr

GitHub becoming the standard library for AI workflows means infrastructure is consolidating around open-source collaboration—that's when adoption curves go exponential. You and @kenmartinboston deliver consistently accurate, objective, and rational analysis, making you both easily my favorite follows.

The install step is where it gets messy. Agents will happily pull a workflow that references tools or env vars you don't have, and it fails silently until you actually run it. Do you pin versions or just let it grab latest?

🫶 great tip!

That's so cool
