Hi Kye,
I'm a final-year engineering student in India. I read through OpenMythos over the last couple of days and wrote a Claude skill that gives Claude careful knowledge of the repo — the eight architectural invariants (ρ(A) < 1, e frozen across loops, MoE only in the recurrent block, etc.), the debugging playbook, the variant-scaling rules, and the papers you cite. When it's loaded, Claude behaves like a senior engineer who has actually read main.py, instead of giving generic PyTorch advice.
Repo: https://github.com/SarthakDz/OpenMythos-Skill
A few things I want to be upfront about:
It's a third-party harness, not affiliated. The README credits you prominently and links back here.
All substance comes from your work and the papers you cite. The skill is just the packaging.
I'd love to add a link in your README if you think it's useful. Equally happy to drop the project entirely if you'd rather this not exist.
Thanks for OpenMythos — the writeup on LTI stability and loop-index embedding is one of the cleaner explainers I've read.
Hi Kye,
I'm a final-year engineering student in India. I read through OpenMythos over the last couple of days and wrote a Claude skill that gives Claude careful knowledge of the repo — the eight architectural invariants (ρ(A) < 1, e frozen across loops, MoE only in the recurrent block, etc.), the debugging playbook, the variant-scaling rules, and the papers you cite. When it's loaded, Claude behaves like a senior engineer who has actually read main.py, instead of giving generic PyTorch advice.
Repo: https://github.com/SarthakDz/OpenMythos-Skill
A few things I want to be upfront about:
It's a third-party harness, not affiliated. The README credits you prominently and links back here.
All substance comes from your work and the papers you cite. The skill is just the packaging.
I'd love to add a link in your README if you think it's useful. Equally happy to drop the project entirely if you'd rather this not exist.
Thanks for OpenMythos — the writeup on LTI stability and loop-index embedding is one of the cleaner explainers I've read.