Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Routes OpenClaw conversations to 10 major Chinese LLMs through a single unified interface. Supports DeepSeek, Qwen, GLM, Kimi, Doubao, MiniMax, Step, Baichuan, Spark, and Hunyuan. Handles model switching, auto-fallback, cost tracking, and task-based recommendations.
Avoids maintaining separate API clients and configurations for each Chinese LLM provider by routing all requests through one interface with shared config and fallback logic.
When to use it
- Switching to DeepSeek R1 for a math-heavy problem
- Comparing Qwen and GLM outputs on the same coding task
- Summarizing a long Chinese document using Kimi's 128K context window
- Getting a model recommendation before starting a multi-step agent workflow
- Tracking token costs across multiple Chinese providers in one session
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: I need to debug a complex Python script. Which model should I use and can you switch to it?
- 1Identifies the task as a coding request
- 2Consults the model selection guide and recommends GLM-5 or Kimi K2.5 for coding
- 3Switches the active model to GLM-5
- 4Confirms the switch and passes the Python script to GLM-5 for debugging
GLM-5 activated; debugging analysis returned for the Python script
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.