Skill UI

This skill generates Puppeteer scripts for browser automation, web scraping, and PDF creation. It supports headless Chrome, network interception, wait strategies, and cloud integration for testing. Ideal for automating browser interactions and extracting data efficiently.

Guides QA testers in designing unit, integration, E2E and contract tests that verify real requirements, covering edge cases, acceptance criteria and DoD, with truthful coverage and failure reports.

Monitor and evaluate Retrieval-Augmented Generation (RAG) systems using measurable metrics. This skill covers retrieval quality checks like Recall@k, hallucination detection, and groundedness scoring. It enables continuous regression testing and production monitoring for AI pipelines using Python libraries like RAGAS and OpenTelemetry.

This comprehensive workflow guides the development of modern, scalable full-stack applications using Next.js 14+, React, and TypeScript. It covers all phases, from project setup and component architecture to advanced data fetching (Server Components, React Query), styling with Tailwind CSS, robust testing (E2E via Playwright), and deployment optimization. Ideal for building complex, production-grade web interfaces.

Triage ASM and reconnaissance output to prove asset ownership before testing. Filters keyword-matched false positives such as shared-name repos, cloud buckets, mobile apps and breach lines, and applies soft-404 controls to inflated Critical findings.

This skill enables writing idiomatic Ruby code using metaprogramming and Rails patterns. It covers gem development, performance optimization, and testing frameworks like RSpec. Ideal for building maintainable applications and ensuring code quality through static analysis tools.

A security payload collection containing XSS, SSRF, and SQL injection payloads, CSP/WAF bypass techniques, wordlists, and submission rules for authorized penetration testing.

This skill generates optimized title tags, meta descriptions, Open Graph tags, and Twitter Card tags for web pages. It aligns content with search intent and conversion goals using CTR frameworks. Users provide page details like keywords and audience, and the skill outputs SERP previews and multiple title variants for A/B testing to improve click-through rates.

Systematic methodology for using Shodan as a reconnaissance tool in authorized penetration testing, covering search queries, vulnerability discovery, IoT scanning, SSL analysis, and Python automation.

This skill generates SmartUI visual regression test configurations for screenshot comparison on TestMu AI cloud. It is framework-agnostic, supporting Playwright, Selenium, Cypress, and Puppeteer. Users can create baselines, compare screenshots, and approve changes via the LambdaTest SmartUI dashboard. Ideal for automated visual testing workflows.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This skill acts as an alias for the canonical TDD workflow cycle. It assists developers in implementing Test-Driven Development methodologies by structuring testing cycles and ensuring quality assurance. Use it when working on software development tasks requiring a test-first approach. It redirects to the full TDD cycle implementation for detailed guidance on writing tests before code.