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Move your setup between AI tools and models

“I hit usage limits, or a cheaper or better model came out.”

Keep your instructions, skills and notes in plain files so any agent can pick them up. Then you can hand off mid-task or pick a cheaper model per job.

Fix it yourself in 3 steps

  1. Gather your instructions, custom commands and project notes into plain text files in the repo.
  2. Ask the new tool to read them and list anything it can't support.
  3. Test on one small task before switching for real, and compare cost and quality.

Copy this prompt

I'm moving from [old tool] to [new tool]. Here are my instruction files and custom commands: [files]. Map each one to the new tool's equivalent, and list anything that won't carry over. Convert them into new files but don't delete the originals. Stop after showing me the mapping.

Fill in the [brackets]. Each prompt says when the AI should stop, so it doesn't wander off.

Agents people used for this: Claude Code, Codex, OpenClaw, Gemini.

Inspired by real examples collected at agentusecases.ai.

📚 8 real stories of people doing this with AI agents

Collected at AgentUseCases.ai.

Tools for this

#1 · Our pick

Claude Code

Best for: Serious work on real repos

Anthropic's agent for your terminal, IDE and desktop. Reads the whole repo, runs commands and tests, and handles large multi-file changes well.

Visit Claude Code ↗
#2

OpenAI Codex

Best for: Delegating tasks as PRs

OpenAI's coding agent, in the CLI and in the cloud. Good at handing off well-scoped tasks that come back as pull requests.

Visit OpenAI Codex ↗
#3

OpenClaw

Best for: Tinkerers who want their own agent

Free, open-source personal AI agent you run on your own computer and talk to from chat apps — powerful, but you set it up and guard its access yourself.

Visit OpenClaw ↗
#4

Gemini

Best for: Google Workspace users

Google's assistant, woven into Gmail, Docs and Android. Strongest if you live in Google's apps.

Visit Gemini ↗