Agent Skills

    If you use Codex or another coding agent that supports the Vercel skills CLI, you can install a Rozenite skill so the agent can use Rozenite for Agents efficiently.

    Rozenite currently ships two complementary skills:

    • rozenite-agent for CLI-driven rozenite agent ... workflows and live shell-based debugging
    • rozenite-agent-sdk for Node.js and TypeScript scripts that use @rozenite/agent-sdk

    These skills are the easiest way to make a coding agent effective with Rozenite. They give the agent the expected workflow so it can interact with React Native DevTools and Rozenite plugins without fumbling CLI usage, SDK lifecycle, or plugin domain resolution.

    Both skills complement Rozenite; they do not replace it. Your app still needs Rozenite installed and configured because the agent ultimately talks to the running app through the Rozenite agent runtime.

    Install with the Vercel skills CLI

    Install from this repository using the repo URL and the skill name that matches your workflow:

    For CLI-driven debugging:

    npx skills add https://github.com/callstackincubator/rozenite --skill rozenite-agent --agent codex

    For SDK-driven scripts and automations:

    npx skills add https://github.com/callstackincubator/rozenite --skill rozenite-agent-sdk --agent codex

    By default, the skills CLI installs project-local skills. For Codex, that means the skill is linked into .agents/skills/. To install it globally for all projects instead, use:

    npx skills add https://github.com/callstackincubator/rozenite --skill rozenite-agent --agent codex --global

    Replace rozenite-agent with rozenite-agent-sdk in that command if you want the SDK skill globally instead.

    After installation, you can ask your agent to use rozenite-agent whenever it needs shell-driven live debugging, or rozenite-agent-sdk whenever it needs to write code against @rozenite/agent-sdk.

    This is the recommended setup. Rozenite for Agents is designed for coding agents first, and these skills make the intended workflow explicit inside the agent.

    Next steps

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