web-navigation-strategies

Plan Playwright MCP navigation with reading depth and selector strategies.

926|107|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/krafton-ai/KIRA --skill web-navigation-strategies
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-navigation-strategies
Source: https://github.com/krafton-ai/KIRA/tree/main/.claude/skills/web-navigation-strategies
Command: npx skills add https://github.com/krafton-ai/KIRA --skill web-navigation-strategies

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Structured web navigation strategies for Playwright MCP address the challenge of scalable website exploration.

Core Features & Use Cases

  • Decision trees for selecting reading depth (quick, standard, deep) and navigation patterns
  • Site-specific selector patterns and fallback strategies for reliable extraction
  • MCP command examples and structured workflows to implement List-Detail, Pagination, and Infinite Scroll across sites

Quick Start

Provide a target URL and your reading depth goal to start applying the navigation strategies.

Frequently Asked Questions about web-navigation-strategies

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

FAQPage Schema
What is the best way to structure web navigation for Playwright MCP across dynamic sites?

Structured web navigation strategies for Playwright MCP provide decision trees for reading depth and site-specific selector fallbacks. They enable deterministic website exploration across portals and dynamic sites by applying generalized patterns.

How do I handle infinite scroll and pagination using Playwright MCP?

You can handle infinite scroll and pagination by applying MCP command examples and structured workflows. These navigation patterns provide deterministic multi-page traversal strategies to reliably extract data across various site architectures.

How do I choose the right reading depth for scalable website exploration?

Scalable website exploration uses decision trees to select reading depth goals like quick, standard, or deep. You provide a target URL and your reading depth goal to start applying the appropriate navigation strategy.

Can I use these navigation strategies for reliable data extraction on blogs?

Yes, these strategies apply reliable data extraction to blogs and portals through site-specific selector patterns and fallback strategies. They ensure consistent multi-page traversal and structured reading depth across different site types.

Why do my Playwright MCP selectors fail during multi-page traversal?

Selectors often fail during multi-page traversal due to dynamic content changes. Implementing site-specific selector fallback strategies and structured navigation patterns ensures reliable extraction and deterministic exploration across unpredictable site architectures.