The solution IMO is to switch to an agent harness wrapper solution that uses CLI-wrapping or ACP to connect to different coding agents. This is the only way that works across OpenAI, Claude and Gemini.

There are a few out there (latest example is Zed's new multi-agent UI), but they still rely on the underlying agent's skill and plugin system. I'm experimenting with my own approach that integrates a plugin system that can dynamically change the agent skillset & prompts supplied via an integrated MCP server, allowing you to define skills and workflows that work regardless of the underlying agent harness.