Openclaw Nim Skill
Description
OpenClaw skill for offloading heavy tasks to NVIDIA NIM models and saving context tokens
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
OpenClaw NVIDIA NIM Skill
🚀 **Token-Saving Superpower for OpenClaw/Claude Code**
This skill integrates the **NVIDIA NIM (Inference Microservices)** platform into your OpenClaw environment. It allows you to "outsource" heavy tasks like summarization, long-form explanation, or deep reasoning to specialized models (GLM-5, Kimi-k2.5, DeepSeek R1, etc.) for FREE, saving up to 90%+ of your main agent's context tokens.
🌟 Features
- Multi-Model Support: Switch between top Chinese and Global models instantly.
- Zero Dependencies: Pure Python implementation using
urllib. - Token Efficiency: Keeps your main conversation lean by handling long inputs/outputs externally.
📦 Installation
- Clone this repo into your
skills/directory. - Get your free API Key from NVIDIA Build.
- Add
export NVIDIA_API_KEY="your-key"to your.zshrcor.bashrc.
🛠 Usage
In your OpenClaw session:
"Use /nim with kimi to summarize this long file: [path]"
Or via CLI:
python3 scripts/nim_call.py kimi "Summarize the history of AI"📜 License
MIT
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