playwright-unworld

Generate deterministic Playwright automation workflows from seed-derived browser contexts and selector chains.

60|13|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/plurigrid/asi --skill playwright-unworld
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: playwright-unworld
Source: https://github.com/plurigrid/asi/tree/main/skills/playwright-unworld
Command: npx skills add https://github.com/plurigrid/asi --skill playwright-unworld

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Delivers deterministic Playwright automation by deriving browser state, selectors, and navigation from seeds, avoiding timing-based flakiness.

Core Features & Use Cases

  • Deterministic browser contexts derived from seeds
  • Selector chain derivation with robustness scoring
  • GF(3) integration for tripartite test generation
  • Phase 1 integration; learning-enabled workflow

Quick Start

Create a new skill with a seed and target URL, then derive selectors and run a test suite using justfile commands.

Frequently Asked Questions about playwright-unworld

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

FAQPage Schema
How do I eliminate timing flakiness in Playwright automation tests?▼

Deterministic Playwright automation uses seed-derived contexts to remove timing-based failures. Instead of relying on waits and retries, seeds generate reproducible browser state and selector chains, ensuring consistent test execution across runs.

What is seed derivation in browser automation?▼

Seed derivation generates deterministic browser contexts, selectors, and navigation paths from a single seed value. This approach eliminates non-determinism by making every automation workflow reproducible from the same input seed.

Can I use GF(3) balanced sequencing for test generation?▼

Yes. GF(3) integration enables tripartite test generation with balanced sequencing, supporting phase-1 integration workflows. This mathematically grounded approach improves test coverage and reduces redundancy in automation suites.

How do I derive robust selectors for Playwright tests?▼

Selector chain derivation scores robustness by analyzing stability and specificity. Seed-based generation produces selectors with explainable decision logic, reducing brittle DOM dependencies and improving test maintainability.

What setup do I need to start using seed-based Playwright automation?▼

Create a skill with a seed and target URL, then use Justfile commands to derive selectors and run test suites. The development workflow includes browser context derivation and abduction-driven discovery with no external dependencies.

Does this approach work with abductive hypothesis generation?▼

Yes. Abduction-driven discovery generates hypotheses about selectors and navigation dynamically. Explainable selector decisions let you understand why each choice was made during automation workflow generation.