Dynamic Model Selector

Dynamic Model Selector extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Dynamic Model Selector as its underlying capability.

Dynamic Model Selector works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Dynamic Model Selector once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Getting started with Dynamic Model Selector takes about two minutes. Place the skill at `~/.claude/skills/dynamic-model-selector/` (personal, all projects) or `.claude/skills/dynamic-model-selector/` (project-specific), then restart your AI client. From that point, typing `/dynamic-model-selector` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

Dynamic Model Selector has been installed 1,108 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.