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AI EngineeringTeX

RWKV Architecture

by Orchestra-Research

RWKV Architecture is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars838 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/07/19+1% in starsRepository updated 2026/06/16
aiai-researchclaudeclaude-codeclaude-skillscodexgeminigpt-5grpohuggingfacemachine-leanringmegatronskillsvllm
Install in seconds
Install RWKV Architecture
Copy RWKV Architecture into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/01-model-architecture/rwkv ~/.claude/skills/rwkv

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
01-model-architecture/rwkv/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/rwkv
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering โ€” 3670 skills

What RWKV Architecture does

Implement and deploy the RWKV architecture, a hybrid RNN-Transformer with linear-time inference, infinite context, and no KV cache. Ideal for long-context processing, streaming generation, and memory-constrained deployment.

RWKV Architecture is cataloged under AI Engineering on DirSkills. RWKV Architecture comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

RWKV - Receptance Weighted Key Value

Quick start

RWKV (RwaKuv) combines Transformer parallelization (training) with RNN efficiency (inference).

Installation:

# Install PyTorch
pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu121

# Install dependencies
pip install pytorch-lightning==1.9.5 deepspeed wandb ninja --upgrade

# Install RWKV
pip install rwkv

This is the opening of the README. Read the full README on GitHub.

Frequently asked about RWKV Architecture

  • What else does Orchestra-Research publish alongside RWKV Architecture?

    RWKV Architecture is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way RWKV Architecture does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does RWKV Architecture compare to other AI Engineering skills?

    RWKV Architecture ranks #361 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of RWKV Architecture against them. Open each page to compare what they document and how they install.

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