jeremylongshore

cursor-model-selection

@jeremylongshore/cursor-model-selection
jeremylongshore
1,004
123 forks
Updated 1/18/2026
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Configure and select AI models in Cursor. Triggers on "cursor model", "cursor gpt", "cursor claude", "change cursor model", "cursor ai model". Use when working with cursor model selection functionality. Trigger with phrases like "cursor model selection", "cursor selection", "cursor".

Installation

$skills install @jeremylongshore/cursor-model-selection
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/cursor-pack/skills/cursor-model-selection/SKILL.md
Branchmain
Scoped Name@jeremylongshore/cursor-model-selection

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: "cursor-model-selection" description: | Configure and select AI models in Cursor. Triggers on "cursor model", "cursor gpt", "cursor claude", "change cursor model", "cursor ai model". Use when working with cursor model selection functionality. Trigger with phrases like "cursor model selection", "cursor selection", "cursor". allowed-tools: "Read, Write, Edit, Bash(cmd:*)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"

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.

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