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lm-studio-private
Private LLM and vision via LM Studio. Auto-loads models. For text chat, code, image analysis. Default: mistralai/ministral-3-3b
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Private LLM and vision via LM Studio. Auto-loads models. For text chat, code, image analysis. Default: mistralai/ministral-3-3b
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Map of the Tailscale network (tailnet) and how to reach, operate, and deploy to remote machines over it via SSH. Use for any cross-machine task — remote install, deploy, restart, log-check, or file transfer.
Operate nano-core coding delegation. Use for /coder or /coding execution, /coder-plan or /coder_plan planning, natural-language coding approval prompts, delegated runs, run IDs, progress, cancellation, and final-result handling; not for direct coding or automatic delegation.
Diagnose nano-core runtime failures. Use for provider/model errors, Pi launch or skill-discovery failures, Telegram/WhatsApp routing, singleton locks, service state, IPC, SQLite state, scheduler behavior, or per-group logs; not for installation or feature work.
Install or onboard nano-core on a host. Use for first-time installation, prerequisites, runtime selection, provider/channel configuration, daemon setup, upgrades, or doctor checks; not for diagnosing an already-running incident.
Understand and operate nano-core itself. Use for questions about nano-core architecture, behavior, configuration, capabilities, skills, installation, troubleshooting, Telegram administration, or coding delegation; route focused work to the matching nano-core skill.
Configure and operate nano-core through Telegram. Use for bot enablement, main/admin chat claims, trigger routing, command authorization, delivery modes, media intake, polling conflicts, and Telegram-first operation; not for WhatsApp-only or general runtime incidents.
| name | lm-studio-private |
| description | Private LLM and vision via LM Studio. Auto-loads models. For text chat, code, image analysis. Default: mistralai/ministral-3-3b |
Private LLM and vision via LM Studio. Auto-loads models automatically!
from client import lm_studio_chat, lm_studio_vision, lm_studio_health
# Chat - auto-loads model if needed
lm_studio_chat("Hello!")
# Vision - auto-loads model if needed
lm_studio_vision("/path/to/image.jpg", "What's in this image?")
# Check status
lm_studio_health()
| Setting | Value |
|---|---|
| Host | 100.72.41.118 |
| Port | 1234 |
| Auto-load | Enabled |
| Default Model | mistralai/ministral-3-3b |
lm_studio_chat(prompt, model=None) - Chat with auto-loadlm_studio_vision(image_path, prompt, model=None) - Vision with auto-loadlm_studio_health() - Check statuslm_studio_models() - List models