bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Share your idle Ollama inference with the community, or use community inference when your API credits run out.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install futurejunk/idleclaw打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
A distributed inference network for Ollama. Contributors share idle GPU/CPU capacity, consumers use community compute when their API credits run out.
Start your machine as an inference node. Your local Ollama models become available to the community.
cd "$SKILL_DIR" && python scripts/contribute.py
This connects to the IdleClaw routing server, registers your available models, and begins accepting inference requests. Press Ctrl+C to stop.
Requirements: Ollama must be running with at least one model pulled.
Send a chat request to the community network instead of running locally.
cd "$SKILL_DIR" && python scripts/consume.py --model <model-name> --prompt "<your message>"
Streams the response to stdout as tokens arrive.
See how many nodes are online and what models are available.
cd "$SKILL_DIR" && python scripts/status.py
| Variable | Default | Description |
|---|---|---|
IDLECLAW_SERVER |
https://api.idleclaw.com |
Routing server URL |
OLLAMA_HOST |
http://localhost:11434 |
Local Ollama endpoint |
This skill contacts the following external endpoints:
IdleClaw Routing Server (IDLECLAW_SERVER, default https://api.idleclaw.com)
/api/chat with model name and chat messages. Receives: streaming token response via SSE./health and /api/models. Receives: server health info and available model list.Local Ollama (OLLAMA_HOST, default http://localhost:11434)
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# IdleClaw A distributed inference network for Ollama. Contributors share idle GPU/CPU capacity, consumers use community compute when their API credits run out. ## Modes ### Contribute — Share your idle inference Start your machine as an inference node. Your local Ollama models become available to the community. ```bash cd "$SKILL_DIR" && python scripts/contribute.py ``` This connects to the IdleClaw routing server, registers your available models, and begins accepting inference requests. Press Ctrl+C to stop. **Requirements:** Ollama must be running with at least one model pulled. ### Consume — Use community inference Send a chat request to the community network instead of running locally. ```bash cd "$SKILL_DIR" && python scripts/consume.py --model <model-name> --prompt "<your message>" ``` Streams the response to stdout as tokens arrive. ### Status — Check network health See how many nodes are online and what models are available. ```bash cd "$SKILL_DIR" && python scripts/status.py ``` ## Configuration | Variable | Default | Description | |---|---|---| | `IDLECLAW_SERVER` | `https://api.idleclaw.com` | Routing server URL | | `OLLAMA_HOST` | `http://localhost:11434` | Local Ollama endpoint | ## Security ### External Endpoints This skill contacts the following external endpoints: 1. **IdleClaw Routing Server** (`IDLECLAW_SERVER`, default `https://api.idleclaw.com`) - **Contribute mode**: Opens a WebSocket connection to register as an inference node. Sends: node ID, available model names, and inference responses. Receives: inference requests (model name, chat messages, and optional tool schemas). - **Consume mode**: Sends HTTP POST to `/api/chat` with model name and chat messages. Receives: streaming token response via SSE. - **Status mode**: Sends HTTP GET to `/health` and `/api/models`. Receives: server health info and available model list. 2. **Local Ollama** (`OLLAMA_HOST`, default `http://localhost:11434`) - **Contribute mode on...
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