Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Model-Selector
A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.
skill openclawclawhub Free
A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- scripts/model_router.py, scripts/query_history.json, scripts/requirements.txt, scripts/train_router.py, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- rayray1218
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Semantic Model Orchestrator
This skill provides an intelligent middle layer for AI agents to decide which model tier should handle a specific task. By using semantic analysis, it categorized queries into Elite, Balanced, or Basic levels.
Features
Semantic Intent Recognition: Uses vector embeddings to detect query complexity. Cost-Efficiency Orchestration: Routes queries to Elite, Balanced, or Basic models. ClawHub Optimized: Default tiers for Claude 3.5 Sonnet, GPT-4o-mini, and DeepSeek. Rolling Adjustment: Built-in logic to refine intent keywords from user history. Multi-Provider Support: Supports OpenAI, Anthropic, Gemini, and DeepSeek.
Model Tiers
Elite: anthropic/claude-3-5-sonnet-latest Balanced: openai/gpt-4o-mini Basic: deepseek/deepseek-chat
Usage
Add this skill to your agent's capability list. The agent will call the get_optimal_model tool before making main LLM calls to optimize performance and budget.
Example Tool Call
result = router.analyze_and_route("Design a high-scalable microservices architecture for a fintech app.") # Returns: {"tier": "ELITE", "suggested_model": "anthropic/claude-3-5-sonnet-latest"}
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Config1 Files
- SKILL.md
- scripts/model_router.py
- scripts/train_router.py
- scripts/query_history.json
- scripts/requirements.txt