cursor-model-selection

# Cursor Model Selection

## Overview

This skill helps you configure and select AI models in Cursor. It covers available models, task-based model selection, cost optimization strategies, and advanced configuration options to get the best results from different AI providers.

## Prerequisites

- Cursor IDE with subscription or API keys
- Understanding of model capabilities
- Knowledge of task requirements
- API account (if using own keys)

## Instructions

1. Understand model strengths and context limits
2. Choose model based on task type (speed vs quality)
3. Configure default models in settings
4. Use per-conversation model selection
5. Set up API keys for additional models
6. Monitor usage and costs

## Output

- Optimal model selection per task
- Configured default models
- Cost-effective model usage
- Fallback model configuration

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Cursor Model Documentation](https://cursor.com/docs/models)
- [OpenAI Model Guide](https://platform.openai.com/docs/models)
- [Anthropic Claude Models](https://docs.anthropic.com/claude/docs/models-overview)