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.