dynamic-model-selector
Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot.
Setup & Installation
Install command
clawhub install mpelissari/dynamic-model-selectorIf the CLI is not installed:
Install command
npx clawhub@latest install mpelissari/dynamic-model-selectorOr install with OpenClaw CLI:
Install command
openclaw skills install mpelissari/dynamic-model-selectoror paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/mpelissari/dynamic-model-selectorWhat This Skill Does
Analyzes user queries to recommend the optimal AI model from GitHub Copilot's available options. Routes tasks based on complexity, cost sensitivity, and task type such as code generation or multi-step reasoning.
Instead of manually picking a model each time, the classification script matches task complexity to the right model, avoiding overpaying for simple queries or underserving complex ones.
When to Use It
- Routing simple chat queries to free models to avoid unnecessary cost
- Selecting gpt-4o for complex analysis tasks automatically
- Picking code-optimized models for code generation requests
- Comparing model options before starting a long reasoning task
- Keeping costs low on high-volume automated workflows
View original SKILL.md file
# 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 1. Provide the user query or task description. 2. Run the classification script to analyze complexity. 3. 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.
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Routing simple chat queries to free models to avoid unnecessary cost
- 1Routing simple chat queries to free models to avoid unnecessary cost
- 2Selecting gpt-4o for complex analysis tasks automatically
- 3Picking code-optimized models for code generation requests
- 4Comparing model options before starting a long reasoning task
- 5Keeping costs low on high-volume automated workflows
Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.