Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Start using a local or Hugging Face model instantly, directly from chat.
Start using a local or Hugging Face model instantly, directly from chat.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
ModelReady lets you start using a local or Hugging Face model immediately, without leaving clawdbot. It turns a model into a running, OpenAI-compatible endpoint and allows you to chat with it directly from a conversation.
Use this skill when you want to: Quickly start using a local or Hugging Face model Chat with a locally running model Test or interact with a model directly from chat
/modelready start repo=<path-or-hf-repo> port=<port> [tp=<n>] [dtype=<dtype>] Examples: /modelready start repo=Qwen/Qwen2.5-7B-Instruct port=19001 /modelready start repo=/home/user/models/Qwen-2.5 port=8010 tp=4 dtype=bfloat16
/modelready chat port=<port> text="<message>" Example: /modelready chat port=8010 text="hello"
/modelready status port=<port> /modelready stop port=<port>
/modelready set_ip ip=<host> /modelready set_port port=<port>
The model is served locally using vLLM. The exposed endpoint follows the OpenAI API format. The server must be started before sending chat requests.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.