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Master OpenMythos AI Skills for Claude Code & Codex

Master OpenMythos AI Skills for Claude Code & Codex

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Works withClaude CodeCursorCodexGemini CLI
Master OpenMythos AI Skills for Claude Code & Codex

Master OpenMythos AI Skills for Claude Code & Codex

Regular price £27.99
Regular price £27.99 Sale price
SAVE Sold out

Master OpenMythos AI Skills for Claude Code & Codex

The Master OpenMythos AI Skills package is designed for developers working with the OpenMythos codebase, which is a theoretical reconstruction of the Claude Mythos architecture. It assists in the effective utilization of Claude Code and Codex by providing capabilities specifically tailored for the Recurrent-Depth Transformer (RDT) implemented in the OpenMythos project.

What this skill does

  • Facilitates interactions with the OpenMythos code, including files like open_mythos/main.py.
  • Assists in configuring and employing components such as MythosConfig, OpenMythos, RecurrentBlock, and LTIInjection.
  • Supports handling of advanced concepts like ACTHalting, MoEFFN, MLAttention, and GQAttention.
  • Provides tools for working with LoRAAdapter and different variants like mythos_1b..mythos_1t.
  • Addresses looped-training symptoms such as loss spikes and residual explosion.
  • Switches attention modes between GQA and MLA within the RDT framework.

Who it is for

  • Developers and engineers utilizing AI coding agents such as Claude Code, Cursor, and Codex.
  • Teams engaged in research and development with advanced transformer architectures.
  • Practitioners working on AI models requiring recurrent or looped training strategies.

Use cases

  • Configuring and experimenting with recurrent-depth transformers in an AI research setting.
  • Developing applications that integrate advanced AI models using Claude Code and Codex capabilities.
  • Optimizing transformer architectures for specific tasks in machine learning projects.

Technical details

  • This package leverages components from the OpenMythos project such as MythosConfig, RecurrentBlock, and LTIInjection.
  • Utilizes PyTorch as the fundamental framework for executing the RDT architecture.
  • Incorporates switching between GQA and MLA attention mechanisms to enhance model flexibility.
  • Supports fine-tuning and experimentation within the Prelude/Recurrent/Coda layout of the RDT.

Source & Licence

This package is built on open-source work published by SarthakDz (SarthakDz/OpenMythos-Skill) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Ran it on a client's Google Ads account and it flagged wasted spend we'd been missing for months. Paid for itself on day one.

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We finally caught broken conversion tags before launch instead of after. The pre-launch checklist alone is worth the price.

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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Our agency uses it as the final review step on every PR now. It catches security issues our linters never did.

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Made WCAG 2.2 compliance actually manageable. It walked through our whole storefront and produced a fix list our devs could work from directly.

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As an expat freelancer in France, the DGFIP simulation saved me a very expensive appointment with an accountant. Incredibly thorough.

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Mark D.
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Works with both Cursor and Claude Code exactly as advertised. Setup took less than five minutes with the included README.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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Support answered my install question within a couple of hours on a Sunday. The skill itself has become part of my daily workflow.

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