Agent skill · software engineering · omer-metin
on-device-ai
Patterns for running AI models locally in browsers using WebGPU, Transformers.js, WebLLM, and ONNX Runtime. Zero API costs, full privacy. Use when "on-device AI, browser AI, WebLLM, Transformers.js, WebGPU, edge inference, offline AI, client-side ML, ONNX web, " mentioned.
Why this skill is useful
Provides specific patterns and techniques for implementing on-device AI using niche tools like WebGPU and ONNX Runtime that the AI wouldn't reliably generate on its own.
What it needs
Requires onnx-runtime, transformers.js, webgpu installed locally. About 1k tokens when loaded. Last updated 2026-01-22. 123 stars on the source repository.
What this skill does
On Device Ai Identity Reference System Usage You must ground your responses in the provided reference files, treating them as the source of truth for this domain: For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. For Diagnosis: Always consult references/sharpedges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively. Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills omer-metin/on-device-ai