OpenClaw的Offload Tasks to LM Studio Models-技能（skill）的描述

通过将工作卸载到本地LM Studio模型，减少付费提供商的令牌使用量。在以下情况使用：（1）降低成本——当质量足够时，使用本地模型进行摘要、提取、分类、重写、首轮审查和头脑风暴；（2）避免为高容量或重复性任务调用付费API；（3）无需额外模型配置——即时加载和REST API可与现有LM Studio设置配合使用；（4）仅本地或涉及隐私敏感的工作。需要0.4及以上版本的LM Studio并启用服务器（默认端口：1234）。无需命令行界面。

OpenClaw's Offload Tasks to LM Studio Models skill

Reduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). No CLI required.

Offload Tasks to LM Studio Models - skill原始代码包