webapp-test-docker-demo
Dedicated E2E testing agent for Playwright and Docker-based web applications, supporting automated test execution, report generation, and test creation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
298 skills found
Dedicated E2E testing agent for Playwright and Docker-based web applications, supporting automated test execution, report generation, and test creation.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Browser-based QA automation for web applications. Performs automated site audits, visual regression testing, user flow verification, and issue tracking with real-time browser snapshots.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Technical specification and structural guidelines for the project's single-file HTML/CSS/JS presentation system.
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
Specialized skill for creating, editing, and maintaining .drawio diagrams. Supports XML manipulation, layout optimization, AWS icon usage, and automated PNG conversion for documentation.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Build complete UI screens by composing multiple uxscii components. Use when you need to create, scaffold, or build .uxm screens like login, dashboard, profile, settings, or checkout pages.
A high-performance Liquid template engine that compiles templates into optimized Ruby and machine code via an intermediate language (IL).
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.