Dynamic Model Selector OpenClaw Skill
Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot. Use when deciding between free/paid models, or when you want automatic model routing based on query analysis.
Installation
clawhub install dynamic-model-selector
Requires npm i -g clawhub
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Dynamic Model Selector
Overview
This skill analyzes user queries to recommend the optimal AI model from available GitHub Copilot options, balancing performance, cost, and task requirements.
How to Use
- Provide the user query or task description.
- Run the classification script to analyze complexity.
- Choose the suggested model or adjust based on preferences.
Classification Criteria
- Simple tasks (short responses, basic chat): Use faster, free models like grok-code-fast-1.
- Complex reasoning (analysis, multi-step): Use advanced models like gpt-4o or claude-3.5-sonnet.
- Code generation: Prefer code-optimized models.
- Cost sensitivity: Favor free models when possible.
Example Usage
For a query like "Explain quantum computing": Classify as medium complexity -> Recommend gpt-4o.
For "Write a Python function to sort a list": Classify as code task -> Recommend grok-code-fast-1.
Resources
scripts/
classify_task.py: Analyzes the query and outputs model recommendation.
references/
models.md: Detailed list of available models, pros/cons, costs.
Statistics
Author
mpelissari
@mpelissari
Latest Changes
v1.0.0 · Feb 8, 2026
Initial release with model classification based on query analysis
Quick Install
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