ajithraghavan /
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 mo…
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 : Clear writing in ASD-STE100 style (strict, 80%, or light) Diagrams Interactive HTML pages 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 Inspired by @karpathy: [ https://x.com/karpathy/status/2105819303471976479 ]
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