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Wsl2 Local Ai
by
Twin Geeks
· GitHub ↗
· v1.0.0
· MIT-0
117
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install wsl2-local-ai
Description
WSL2 Local AI — run LLMs on Windows via WSL2 with NVIDIA GPU passthrough. WSL2 AI development with Ollama, CUDA, and Docker. WSL2 Ollama fleet routing for Wi...
Usage Guidance
This skill appears to do what it says (set up Ollama + herd in WSL2). Before installing: (1) Inspect any remote install script before running 'curl | sh' (it executes code as you). (2) Expect to pull Docker images and run background services listening on localhost — ensure you trust the sources (ollama.ai, Docker Hub) and that you have the appropriate GPU drivers. (3) The metadata lists python/pip/nvidia-smi/wsl but not docker; if you plan to use the Docker example, install Docker Desktop. (4) Running herd will create ~/.fleet-manager state files — review and back up if needed. If you want lower risk, run these steps in a disposable WSL2 instance or VM and review the referenced GitHub repo and install script first.
Capability Assessment
Purpose & Capability
Name/description (WSL2, Ollama, CUDA, Docker, herd routing) matches the instructions: enabling WSL2, verifying nvidia-smi, installing Ollama, pip-installing ollama-herd, and running herd/herd-node. Optional bins (python3, pip, nvidia-smi, wsl) are relevant. One small omission: the README shows docker usage but 'docker' is not listed in the metadata optional bins.
Instruction Scope
SKILL.md confines actions to installing/starting Ollama and herd, adding environment vars to ~/.bashrc, and querying local endpoints (localhost:11435). It does not instruct reading unrelated host files or exfiltrating secrets. It does recommend running remote install scripts (curl | sh) and pulling docker images — expected for this purpose but higher-risk operations.
Install Mechanism
This is instruction-only (no install spec). Install steps include piping a remote installer (https://ollama.ai/install.sh) to sh, pip install, and docker run. These are plausible for installing Ollama but are higher-risk patterns than purely local installs; the sources referenced (ollama.ai and Docker Hub image ollama/ollama) are consistent with the stated toolchain.
Credentials
No required environment variables or credentials are requested. The skill suggests OLLAMA_* env vars for runtime tuning (local-only) and uses a local API endpoint with no API key needed; this is proportionate to the task.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It instructs persisting env vars to ~/.bashrc and creating/using ~/.fleet-manager state files — reasonable for a long-running local service. The skill runs local servers and background processes (herd), which is expected for this functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wsl2-local-ai - After installation, invoke the skill by name or use
/wsl2-local-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of WSL2 Local AI, enabling full-stack local LLM development for Windows users via WSL2 and NVIDIA GPUs.
- Run LLMs on Windows through WSL2 with native GPU passthrough for near-Linux performance.
- Integrated Ollama Herd for routing AI requests across WSL2 and Windows environments.
- Step-by-step setup including Ollama, CUDA, Docker, and Ollama Herd node registration.
- Out-of-the-box support for popular LLMs, AI image generation, and embeddings.
- Clear guidance for Windows developers to use local AI endpoints from VS Code, Python, curl, and Docker.
- Safety guardrails: all model downloads and deletions require user confirmation; no automatic model pulls.
Metadata
Frequently Asked Questions
What is Wsl2 Local Ai?
WSL2 Local AI — run LLMs on Windows via WSL2 with NVIDIA GPU passthrough. WSL2 AI development with Ollama, CUDA, and Docker. WSL2 Ollama fleet routing for Wi... It is an AI Agent Skill for Claude Code / OpenClaw, with 117 downloads so far.
How do I install Wsl2 Local Ai?
Run "/install wsl2-local-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Wsl2 Local Ai free?
Yes, Wsl2 Local Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Wsl2 Local Ai support?
Wsl2 Local Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (windows).
Who created Wsl2 Local Ai?
It is built and maintained by Twin Geeks (@twinsgeeks); the current version is v1.0.0.
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