---
name: semantic-model-orchestrator-cb05ca3ba35c
description: A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.
version: 1.0.0
author: Ray
tags: [llm-ops, routing, efficiency, selection]
---

# 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
```python
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"}
```


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/model-selector/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/model-selector/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Product Management
Roles: Data Scientist, ML / AI Engineer, Technical Product Manager
Specialties: API
Tools: Anthropic API, Google Gemini, OpenAI API, Deepseek
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 5320f4c07752183cd6250d5227a126f5427eda54bea9d01c37686f157f1f2b43