My guess is that the standardization is going to make its way into how the models are trained and Skills are eventually going to pull out ahead.
0: https://vercel.com/blog/agents-md-outperforms-skills-in-our-...
Their reasoning about it is also flawed. E.g. "No decision point. With AGENTS.md, there's no moment where the agent must decide "should I look this up?" The information is already present." - but this is exactly the case for skills too. The difference is just where in the context the information is, and how it is structured.
Having looked at their article, ironically I think the reason it works is that they likely force more information into context by giving the agent less information to work with:
Instead of having a description, which might convince the agent a given skill isn't relevant, their index is basically a list of vague filenames, forcing the agent to make a guess, and potentialy reading the wrong thing.
This is basically exactly what skills were added to avoid. But it will break if the description isn't precise enough. And it's perfectly possible that current tooling isn't aggressive enough about pruning detail that might tempt the agent to ignore relevant files.
I see this with Cursor all the time with tools. Cursor will stop editing files in the editor and use the command line to echo edits into a file. It's so frustrating.
I explicitly tell it about the skills and that it should load them when the context feels correct.
```prompt.md
Company Name codebase ...
# Skills
Use the company specific skills that look like `company-*`. Load them once per conversation if they seem relevant to what you are working on.
```
```SKILL.md
---
description: Company TypeScript libraries and conventions
trigger: Writing or reading TypeScript in Company services ---
# company-ts
```