Lm — AI skill for Claude Code
Point hamster's local-model slot at whatever you run — oMLX, LM Studio, Ollama, llama.cpp, or any OpenAI-compatible server — and pick a fast and a quality model.
How to install Lm
Installs to ~/.claude/skills/kam-hamster-lm/SKILL.md
mkdir -p ~/.claude/skills/kam-hamster-lm && curl -fsSL https://raw.githubusercontent.com/kam/hamster/HEAD/commands/lm.md -o ~/.claude/skills/kam-hamster-lm/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Lm does
description: Point hamster's local-model slot at whatever you run — oMLX, LM Studio, Ollama, llama.cpp, or any OpenAI-compatible server — and pick a fast and a quality model. Saved in ~/.claude/hamster/config.json; keys are never stored. argument-hint: [detect | show | test | clear]
The local-model slot drafts summaries, error clusters and the "worth remembering?" verdict at zero API tokens. Order: configured server → Apple on-device (macOS 26+) → the in-session model. This command sets
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Full documentation available on GitHub
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