AgentSkillsCN

on-device-ai

通过WebGPU、Transformers.js、WebLLM与ONNX Runtime，在浏览器中本地运行AI模型的模式。零API费用，全程隐私保护。当提及“设备端AI”“浏览器AI”“WebLLM”“Transformers.js”“WebGPU”“边缘推理”“离线AI”“客户端ML”“ONNX Web”等术语时，可使用此模式。

SKILL.md
--- frontmatter
name: on-device-ai
description: 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.

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/sharp_edges.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.