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tasi-browser-automation

Automate web navigation, interaction, and content extraction via accessibility snapshots.

9|2|Updated Apr 24, 2026
Search Tags:#debugging#browser automation#ui testing#cdp#evidence capture#accessibility tree#web extraction
One-click install
npx skills add https://github.com/TasiTech/tasi-harness --skill tasi-browser-automation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tasi-browser-automation
Source: https://github.com/TasiTech/tasi-harness/tree/main/resources/skills/browser/tasi-browser-automation
Command: npx skills add https://github.com/TasiTech/tasi-harness --skill tasi-browser-automation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you perform repeatable web interactions and reliably extract page content when you need more than plain browsing—such as debugging UI flows, collecting structured data, or capturing proof from dynamic pages.

Core Features & Use Cases

  • Accessibility-first page understanding: Use browser_snapshot to read the semantic/accessibility tree and get stable @e refs for actions.
  • Interactive navigation and form actions: Use browser_open, browser_find, and the dedicated click/type/select/wait/scroll tools to operate complex sites.
  • Content extraction and evidence capture: Use browser_extract (text/html/json) plus browser_screenshot/browser_pdf to produce workspace-ready outputs, and browser_console/browser_network/browser_storage for debugging.

Quick Start

Use the browser automation skill to open the target site, snapshot it to locate elements, extract the relevant article/body text, and save a screenshot for evidence.

Frequently Asked Questions about tasi-browser-automation

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

FAQPage Schema
How do I extract structured data from dynamic web pages with browser automation?▼

Browser automation extracts structured data from dynamic web pages by navigating interactive UIs and using bounded content extraction to output text, HTML, or JSON directly from the rendered DOM.

How does accessibility tree based web scraping work for UI testing?▼

Accessibility tree web scraping works by taking a semantic snapshot of the page to generate stable element references, which are then used to reliably click, type, and interact with complex UI components during testing.

Can I capture screenshots and PDFs as evidence during web extraction?▼

Yes, you can capture screenshots and PDFs as evidence during web extraction. The workflow supports outputting workspace-ready visual proof alongside extracted text and structured data.

What's the best way to debug page behavior and inspect network requests during browser automation?▼

The best way to debug page behavior during browser automation is by inspecting console logs, network requests, and browser storage directly within the active session to identify dynamic loading or script execution issues.

Does browser automation work with complex form submissions and dynamic UI navigation?▼

Yes, browser automation works with complex form submissions and dynamic UI navigation. It provides dedicated tools to fill, select, scroll, and wait for elements to ensure interactive navigation succeeds on dynamic sites.

Why use an accessibility-first snapshot instead of standard HTML parsing for web scraping?▼

An accessibility-first snapshot provides a semantic page structure that generates stable element references, making web scraping and interactions more resilient to dynamic DOM changes than standard HTML parsing.

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