Yesterday a small but sharp build landed on r/PromptEngineering, and it’s the kind of thing that quietly changes how you think about agent tooling. Developer Mte90 published a project that turns Linus Torvalds’ infamous code review style into a portable “skill” any AI agent can load and use.
What’s new: the repo (github.com/Mte90/linus-torvalds-skill) packages the full pipeline for extracting that review persona, not just a static prompt. According to Mte90, the goal was to “distill the code reviewer skills from Torvalds into something usable in an agent,” turning years of blunt, no-nonsense Linux kernel feedback into a reusable module you can drop into any workflow.
The twist: the same skill gets regenerated across different models. Instead of hand-writing one prompt and hoping it holds up, the pipeline runs the extraction process through multiple LLMs and produces the skill from each of them. That means you can compare how different models interpret “review this code like Linus would” and pick whichever version matches your team’s tolerance for bluntness. And the whole thing is CC0, so there’s zero licensing friction to using or forking it.
The step-by-step version if you want to try it:
- 📥 Clone the repo and check which models already have a generated skill file.
- 🔍 Read the generated persona files to see how each model interpreted “Torvalds-style” review. Tone varies more than you’d expect.
- 🧩 Drop the skill into your agent framework of choice as a system prompt or tool definition.
- 🧪 Run it against a real pull request and compare the feedback to what a human reviewer would flag.
- If a model’s version feels off, regenerate it from the pipeline. That’s the whole point.
Pro tip: don’t grab the first generated version and call it done. Since the pipeline produces the skill across models, run the same PR through two or three versions before picking one. The gap between “brutally honest” and “actually useful” review feedback is bigger than most people assume, and the model matters more than the prompt here.
Second tip: CC0 means you can rip this apart and repurpose the pipeline for a completely different reviewer persona. Torvalds is just the proof of concept, the reusable part is the extraction process itself.
If you’re still hand-crafting review prompts one at a time, this is worth ten minutes of your day. Go check the repo, generate your own version, and see if your agent survives a Torvalds-grade review 🚀.
From prompts to reusable skills: a Linus-inspired code review skill for AI agents
by u/Mte90 in PromptEngineering