autobrowse

Iteratively run browser traces and update navigation strategies until tasks pass.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Z5Jonathan-maker/ai-coding-os --skill autobrowse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autobrowse
Source: https://github.com/Z5Jonathan-maker/ai-coding-os/tree/main/claude/skills/autobrowse
Command: npx skills add https://github.com/Z5Jonathan-maker/ai-coding-os --skill autobrowse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

AutoBrowse eliminates the trial-and-error burden of building dependable browser instructions by running an automated browse loop that iteratively improves a site-specific strategy until it consistently passes.

Core Features & Use Cases

  • Self-improving skill building: Runs a browsing “inner agent,” reviews the resulting trace, and updates strategy.md over multiple iterations to produce a shippable skill.md playbook.
  • Local and remote execution modes: Supports local Chrome automation and a remote (Browserbase) mode for bot-protected sites.
  • Durable, inspectable artifacts: Writes traces (including summary and full trace logs) so improvements are grounded in evidence rather than guesswork.
  • Use case: Graduating a navigation skill for a specific website flow (e.g., logging in, filling a form, extracting a confirmation number) so future agents can skip costly exploration.

Quick Start

Run autobrowse in your project directory to generate or refine a graduated skill for your target site task using multiple evaluate-improve iterations.

Frequently Asked Questions about autobrowse

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

FAQPage Schema
How do I automate browser navigation for recurring website tasks without trial and error?▼

You can automate browser navigation by running an iterative browsing loop that evaluates execution traces and updates a site-specific strategy until the task consistently passes. This produces a durable, cached navigation playbook for recurring flows like form submissions or account logins.

Can I use browser automation to extract confirmation details from bot-protected sites?▼

Yes, browser automation supports remote execution via Browserbase credentials specifically for bot-protected sites. This remote mode allows the inner browsing agent to navigate and extract confirmation details without being blocked by site protections.

What is trace-driven iteration for building web navigation skills?▼

Trace-driven iteration is a process where an automated browsing attempt runs, generates a trace log, and the system updates a strategy file based on that evidence. It repeats this evaluate-improve cycle until a reliable site-specific navigation skill is achieved.

Do I need an Anthropic API key to build reliable website navigation instructions?▼

Yes, an Anthropic API key is required to power the inner agent that executes the browsing attempts and strategy updates. You also need a root skill entry, a target task file, and a strategy file in your workspace.

How do I create deterministic cached navigation for web form submission workflows?▼

You create deterministic cached navigation by iteratively running an automated browsing agent against a form submission flow, reviewing the resulting trace logs, and refining the strategy until the workflow passes consistently. This graduates into a shippable playbook file for future agents.