I turned Andrej Karpathy's tips on understanding LLM output into an Open Source Agent Skill

I turned Andrej Karpathy's tips on understanding LLM output into an Open Source Agent Skill : [make-it-click](https://github.com/ajithraghavan/make-it-click) 🧠⚡

Inspired by his X post : as Models do more of the work, we spend more time understanding it. So the format of an answer matters

The Skill picks the simplest format that makes an idea click, and moves up only when needed :

1. Clear writing in ASD-STE100 style (strict, 80%, or light)
2. Diagrams
3. Interactive HTML pages
4. Narrated explainer videos (3b1b style)

Bonus : an oversight mode for reviewing Agent work (what changed -> why -> risk -> what to check)

MIT licensed. Works with Claude.ai and Claude Code

🔗 https://github.com/ajithraghavan/make-it-click

Feel free to use and ⭐️ the Repository

Inspired by @karpathy: [https://x.com/karpathy/status/2105819303471976479]

Thanks for Reading!