About
EdgeVLA is an open-source vision-language-action model for robotics that standardizes Open-X Embodiment datasets for consistent training. Developers can use this skill to process and unify diverse robotics datasets for building or deploying VLA models on edge devices.
Quick Install
Claude Code
Recommendednpx skills add plurigrid/asi -a claude-code/plugin add https://github.com/plurigrid/asigit clone https://github.com/plurigrid/asi.git ~/.claude/skills/evla-vlaCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the evla-vla skill?
evla-vla is a Claude Skill by plurigrid. Skills package instructions and resources that Claude loads on demand, so Claude can perform evla-vla-related tasks without extra prompting.
How do I install evla-vla?
Use the install commands on this page: add evla-vla to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does evla-vla belong to?
evla-vla is in the robotics-vla category, tagged ai and data.
Is evla-vla free to use?
Yes. evla-vla is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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EdgeVLA is an open-source vision-language-action model for robotics that standardizes Open-X Embodiment datasets for consistent training. It enables developers to build and deploy unified VLA models for robotic control tasks. Use this skill when working on robotics applications requiring integrated perception, language understanding, and action generation.
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