Communityv1.0.3

Offload Tasks to LM Studio Models

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.

3kdownloads3stars2active installsTyler Sinclair
View on ClawHubBack to Skills

Skill Details

Slug
lm-studio-subagents
Latest Version
1.0.3
Author
Tyler Sinclair
Published
Jan 25, 2026
Updated
May 11, 2026
Total Versions
4

How to Install

  1. 1 on OpenClawdBots (takes under 60 seconds).
  2. 2Open your bot dashboard and go to the Skills tab.
  3. 3Switch to the ClawHub tab and search for Offload Tasks to LM Studio Models.
  4. 4Click Install and the skill is deployed to your bot automatically.

Changelog — v1.0.3

Changelog **New helper scripts for load/unload/test added; unload guidance clarified** - Added scripts: load.mjs (model loader), unload.mjs (unloads all instances for model key), test.mjs (basic test suite). - Significantly expanded and clarified unload instructions: always use instance_id from GET /api/v1/models (never assume it matches model key; keys can have multiple instances with ids like key:2). - Improved example workflows, especially for multi-turn and unload/verify unload steps. - Documented new script features (like --unload-after, --keep, --stateful, --log). - Added troubleshooting and error handling procedures for instance management. - Updated copy-paste and example sections for practical ease-of-use.