next-browser

Inspect Next.js component trees, props, hooks, and network traces via CLI.

1|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/aurorascharff/nextjs-16.2-ai-improvements --skill next-browser-aurorascharff
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: next-browser
Source: https://github.com/aurorascharff/nextjs-16.2-ai-improvements/tree/main/.agents/skills/next-browser
Command: npx skills add https://github.com/aurorascharff/nextjs-16.2-ai-improvements --skill next-browser-aurorascharff

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI workflows often struggle to access and reason about a Next.js app's rendered state. This Skill provides a CLI-based interface to inspect React DevTools data, Next.js dev overlay insights, and performance traces, enabling agents to reason and act on live app feedback.

Core Features & Use Cases

  • Expose component trees, props, hooks, PPR shells, errors, and network data as structured text via shell commands.
  • Enable deterministic exploration, repro, and debugging of Next.js apps in AI agent workflows, including SSR and client rendering scenarios.
  • Integrate with a Next.js project to drive debugging tasks, capture visuals (e.g., screenshots), and verify UI states.

Quick Start

Open your Next.js project in a dev server and run the tool by typing the provided CLI commands in your agent or terminal.

Frequently Asked Questions about next-browser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I inspect React component trees and hooks from the CLI in a Next.js project?

To inspect React component trees and hooks from the CLI, this skill exposes Next.js and React DevTools data as structured text via shell commands. It requires a running local Next.js dev server to retrieve component props, hooks, and PPR shells.

Can AI agents automatically debug Next.js SSR and client-rendered pages?

AI agents can automatically debug Next.js SSR and client-rendered pages using this skill. It provides a CLI interface that captures network traces, errors, and React DevTools data, enabling deterministic exploration and repro within automated AI workflows.

How do I extract structured React DevTools data for AI automation workflows?

To extract structured React DevTools data for AI automation, this skill translates component states, props, and hooks into structured text through CLI commands. This allows agents to reason and act directly on live Next.js application feedback.

Does debugging Next.js PPR shells and network traces via an AI agent require a specific dev environment?

Debugging Next.js PPR shells and network traces via an AI agent requires a local Next.js project running a dev server and a compatible CLI interface. No external dependencies are needed beyond the standard Next.js development environment.

Why use a CLI interface to access React DevTools instead of standard browser devtools extensions?

Using a CLI interface to access React DevTools enables deterministic exploration and debugging automation that standard browser extensions cannot achieve. It exposes live application state, component trees, and errors as structured text for AI agents to process.

What are the limitations of using shell commands to debug Next.js React state?

A limitation of using shell commands to debug Next.js React state is that it strictly requires an active local dev server to query live component trees and PPR shells. It is designed for local automation workflows rather than analyzing static production builds.