🎯Skills152
Performs context-driven code reviews, prioritizing quality, security, testability, and maintainability with structured, actionable feedback.
Cross-browser, cross-platform, and cross-device compatibility testing skill for validating browser support, responsive design, and platform consistency.
Provides API testing patterns and strategies for agentic quality engineering, including REST and integration testing approaches.
A regression testing skill from Agentic QE, providing AI-powered quality engineering patterns for automated regression test design and execution.
Test automation strategy skill for designing effective automation frameworks with proper test pyramids, page object patterns, and CI/CD integration.
Systematic test design techniques skill covering boundary value analysis, equivalence partitioning, decision tables, state transition testing, and combinatorial testing.
Provides comprehensive mobile testing for iOS and Android platforms including gestures, sensors, permissions, device fragmentation, and performance across 1000+ device variants.
Performs brutally honest code reviews focusing on quality issues, part of the agentic quality engineering skills collection.
GitHub workflow automation skill for creating and managing CI/CD pipelines, GitHub Actions, and automated testing workflows.
Provides comprehensive agentic quality engineering workflows with specialized agents for test generation, implementation, and refactoring.
A pentest validation skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Provides refactoring patterns and best practices for agentic quality engineering, helping restructure code while maintaining quality.
WCAG 2.2 accessibility testing skill for screen reader validation, ADA/Section 508 compliance, and inclusive design verification.
Performance testing skill providing methodologies for load testing, stress testing, and performance benchmarking of applications.
Provides localization testing patterns and guidelines for agentic quality engineering, ensuring software works correctly across different locales.
Sherlock review skill from Agentic QE for detective-style code review that investigates runtime failures, consistency issues, and architecture risks.
Chaos engineering and resilience testing skill for controlled failure injection, fault tolerance validation, and disaster recovery testing in distributed systems.
A n8n trigger testing strategies skill from Agentic QE, AI-powered quality engineering skills for automated testing.
A n8n expression testing skill from Agentic QE, AI-powered quality engineering skills for automated testing.
Contract testing skill for validating API contracts between services, ensuring provider-consumer compatibility.
Teaches London (mock-based) and Chicago (state-based) TDD approaches, helping choose the right testing style for agentic quality engineering workflows.
A n8n integration testing patterns skill from Agentic QE, AI-powered quality engineering skills for automated testing.
Context-driven testing skill applying testing principles where practices are chosen based on project context rather than universal best practices, for adaptive quality engineering.
Quality engineering consultancy practices skill providing testing methodologies, QA process frameworks, and best practices for agentic quality assurance.
Agentic Quality Engineering fleet providing automated testing skills for warehouse management systems, with support for TypeScript, multi-version architecture, and MCP server integration.
GitHub code review skill with AI-powered swarm coordination for comprehensive PR reviews and automated code quality checks.
AI-powered testability scoring using 10 principles of intrinsic testability with Playwright and optional Vibium integration for web applications.
Mutation testing skill for evaluating test suite effectiveness by injecting code mutations and measuring detection rates.
Skill for managing test environments including provisioning, configuration, data seeding, and cleanup for QA workflows.
Part of the Agentic Quality Engineering Fleet, providing debug loop skills within a TypeScript-based testing automation framework with multi-version support for quality engineering workflows.
An enterprise-grade quality engineering skill from the Agentic QE Fleet, providing automated testing capabilities across unit, integration, and E2E testing with TypeScript and Node.js support.
An observability testing patterns skill from the Agentic Quality Engineering Fleet, a TypeScript-based multi-agent system for automated quality engineering with specialized testing agents and validation tooling.
A hooks automation skill from the Agentic Quality Engineering Fleet v3, featuring DDD architecture, 12 bounded contexts, 51+ specialized QE agents, TinyDancer model routing, ReasoningBank learning, and deep Claude Flow integration.
A skill from the Agentic Quality Engineering Fleet that combines reasoning bank capabilities with AgentDB for persistent test intelligence storage and retrieval in quality engineering workflows.
A skill from the Agentic Quality Engineering Fleet, a TypeScript/Node.js framework that provides v3 core implementation patterns for automated quality engineering and testing workflows.
Swarm orchestration skill from the Agentic Quality Engineering Fleet, a TypeScript-based testing framework that coordinates multiple AI agents for automated quality assurance workflows.
Skill for optimizing MCP (Model Context Protocol) server performance in quality engineering workflows, covering v3 protocol enhancements and throughput tuning.
A memory unification skill from the Agentic Quality Engineering Fleet v3, featuring DDD architecture, 67 QE skills, governance integration, QCSD 2.0 lifecycle management, and infrastructure self-healing for enterprise systems.
A v3 deep integration skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
A middleware testing patterns skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
A swarm coordination skill from the Agentic Quality Engineering Fleet V3, a TypeScript-based multi-agent framework for autonomous quality engineering.
A qcsd ideation swarm skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Part of the Agentic Quality Engineering Fleet, a TypeScript/Node.js framework for automated quality engineering. This skill focuses on CLI modernization within the agentic QE testing and quality assurance workflow.
A security overhaul skill from the Agentic Quality Engineering Fleet V3, a TypeScript-based multi-agent framework for autonomous quality engineering testing.
A performance optimization skill from the Agentic Quality Engineering Fleet v3, featuring DDD architecture, 12 bounded contexts, 67 QE skills, TinyDancer model routing, and deep integration with Claude Flow and Agentic Flow.
A skill from the Agentic Quality Engineering Fleet that provides reasoning bank intelligence capabilities for automated quality analysis and test reasoning in software development workflows.
A skill builder skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Part of the Agentic Quality Engineering Fleet, this skill focuses on AgentDB performance optimization within the agentic QE framework for automated testing and quality assurance workflows.
A qcsd development swarm skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
An npm-based quality engineering fleet for agentic testing, providing automated test generation, execution, and quality assurance workflows for AI-assisted development.
A test idea rewriting skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
A verification and quality assurance skill from the Agentic QE fleet, a TypeScript-based quality engineering framework available as an npm package for automated testing workflows.
Part of the Agentic Quality Engineering Fleet, this skill coordinates 60 specialized QE agents to automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
Part of the Agentic Quality Engineering fleet (60 specialized agents across 11 platforms), this skill focuses on performance testing by generating load tests, identifying bottlenecks, and producing optimization recommendations using framework-specific output for tools like Jest, Vitest, Playwright, and more.
An AI-powered quality engineering fleet with 60 specialized agents that generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns, supporting 11 coding agent platforms and multiple test frameworks including Jest, Vitest, Playwright, and pytest.
A testing techniques skill from the Agentic Quality Engineering Fleet, an npm-installable collection of QE skills, hooks, and runbooks for AI-powered test strategy, automation, and quality metrics.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents with intelligent model routing for cost optimization.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms including Jest, Vitest, Playwright, Cypress, and pytest.
An AI-powered quality engineering skill that generates regression tests, finds coverage gaps, and detects flaky tests across multiple frameworks including Jest, Vitest, Playwright, Cypress, and pytest.
An AI-powered quality engineering agent fleet with 60 specialized agents that automatically generates tests, finds coverage gaps, detects flaky tests, and learns codebase patterns, supporting 11 coding agent platforms and multiple test frameworks including Jest, Playwright, and pytest.
An AI-powered quality engineering toolkit that automatically generates tests, identifies coverage gaps, detects flaky tests, and learns codebase patterns over time. Supports multiple testing frameworks and works across 11 coding agent platforms.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents with intelligent model routing to reduce AI costs.
Part of the Agentic Quality Engineering fleet, this skill provides WCAG 2.2 compliance testing with screen reader validation, keyboard navigation checks, and color contrast verification using axe-core integration across 11 coding agent platforms.
An agentic quality engineering framework with Domain-Driven Design architecture, 13 bounded contexts, 60 specialized QE agents, intelligent model routing, HNSW vector search, and MCP server integration for Claude Code, OpenCode, and AWS Kiro IDE.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents covering unit, integration, property-based, and BDD testing with intelligent model routing to reduce AI costs.
An n8n trigger testing strategies skill from Agentic QE, an AI-powered quality engineering fleet. It helps agents create and validate n8n workflow trigger tests with support for multiple frameworks across 11 coding platforms.
An AI-powered quality engineering fleet with 60 specialized agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents with intelligent model routing to reduce AI costs.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents with intelligent model routing to reduce AI costs while supporting Jest, Vitest, Playwright, Cypress, pytest, and more.
Part of the Agentic Quality Engineering Fleet, an AI-powered system with 60 specialized agents that automatically generates tests, finds coverage gaps, detects flaky tests, and learns codebase patterns across 11 coding agent platforms.
Part of the Agentic Quality Engineering fleet, providing AI-powered agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms with support for Jest, Vitest, Playwright, Cypress, pytest, and more.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns. Coordinates 60 specialized QE agents across 11 coding platforms with intelligent model routing to reduce costs.
Part of the Agentic Quality Engineering (AQE) fleet, a collection of AI-powered QE agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns. Supports 11 coding agent platforms and coordinates 60 specialized agents across frameworks including Jest, Vitest, Playwright, Cypress, and pytest.
Part of the Agentic Quality Engineering fleet that provides AI-powered test generation, coverage gap analysis, flaky test detection, and codebase pattern learning across 60 specialized QE agents and 11 coding platforms.
Part of the Agentic Quality Engineering Fleet, a TypeScript-based npm package providing AI-driven quality engineering skills for test environment management, test planning, and automated QA workflows.
A performance analysis skill from the Agentic Quality Engineering (AQE) fleet that coordinates 60 specialized QE agents to generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
Part of the Agentic Quality Engineering Fleet that provides migration guidance from AQE v2 to v3, helping teams transition their AI-powered test generation, coverage analysis, and flaky test detection setup across 11 coding agent platforms.
A code review quality skill from the Agentic Quality Engineering (AQE) fleet that coordinates 60 specialized QE agents to generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
An agentic quality engineering fleet that provides automated testing skills for enterprise integration testing, including TypeScript-based test generation and CI/CD pipeline integration.
An AI-powered quality engineering toolkit that coordinates 60 specialized agents to automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns, supporting 11 coding agent platforms and multiple test frameworks.
An AI-powered quality engineering system with 60 specialized agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns, supporting 11 coding agent platforms and multiple test frameworks including Jest, Playwright, and pytest.
Part of the Agentic Quality Engineering Fleet, a set of AI-powered agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms including Jest, Vitest, Playwright, Cypress, and pytest.
Part of the Agentic QE fleet, which provides AI-powered quality engineering with 60 specialized agents across 11 coding platforms. Offers an iterative debug loop for test failure analysis, root cause detection, and automated fix suggestions using framework-specific output for Jest, Playwright, pytest, and more.
Part of the Agentic QE fleet of 60 specialized quality engineering agents, this skill automates GitHub CI/CD workflow integration for test execution, coverage reporting, and quality gates in your development pipeline.
Part of an AI-powered quality engineering fleet with 60 specialized agents that generate tests (unit, integration, property-based, BDD), find coverage gaps using risk-weighted analysis, and detect flaky tests with ML-powered root cause analysis. Supports Jest, Vitest, Playwright, Cypress, pytest, and 11 coding agent platforms.
Part of the Agentic QE fleet of 60 specialized quality engineering agents, this skill guides AI agents through Test-Driven Development using both London (mockist) and Chicago (classicist) TDD approaches across multiple testing frameworks.
Part of the Agentic Quality Engineering Fleet, an AI-powered system with 60 specialized agents that automatically generates tests, finds coverage gaps, detects flaky tests, and learns codebase patterns. Supports Jest, Vitest, Playwright, Cypress, pytest, and more across 11 coding agent platforms.
AI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns across 11 coding agent platforms. Coordinates 60 specialized QE agents for tasks ranging from test generation to security scanning and chaos engineering.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns. Coordinates 60 specialized QE agents across 11 coding agent platforms with intelligent model routing to reduce costs.
An agentic quality engineering fleet providing verification and quality assurance skills for AI-assisted testing workflows with multi-agent orchestration and TypeScript support.
Performance analysis skill from Agentic QE for profiling, benchmarking, and identifying performance bottlenecks in applications.
A QE code intelligence skill from the Agentic Quality Engineering Fleet v3, featuring DDD architecture, 12 bounded contexts, 61 QE skills, TinyDancer model routing, HNSW vector search, and a Queen coordinator for test management.
AI-powered quality engineering agents that automatically generate tests (unit, integration, property-based, BDD), find coverage gaps with risk-weighted analysis, and detect flaky tests with ML-powered root cause analysis across 11 coding agent platforms.
QE test generation skill for automatically creating quality engineering test cases from requirements and code analysis.
A skill from Agentic Quality Engineering (AQE), an AI-powered testing fleet that automatically generates comprehensive tests, identifies coverage gaps through risk-weighted analysis, and detects flaky tests across 11 coding agent platforms.
A qe chaos resilience skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Part of the Agentic Quality Engineering Fleet, this skill focuses on visual accessibility testing within the agentic QE framework for automated quality assurance workflows.
Part of the Agentic Quality Engineering fleet, providing AI-powered test coverage analysis that identifies gaps, generates tests across multiple frameworks (Jest, Vitest, Playwright, pytest, and more), and detects flaky tests with ML-powered root cause analysis.
A qe learning optimization skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
A qe requirements validation skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Part of the Agentic Quality Engineering Fleet, this skill focuses on QE coverage analysis within the agentic testing framework for automated quality assurance.
A qe defect intelligence skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
Part of the Agentic Quality Engineering Fleet, an AI-powered testing toolkit with 60 specialized agents that generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns across 11 coding agent platforms.
A qe test execution skill from Agentic QE, providing quality engineering and automated testing skills for AI-assisted development.
An npm-based quality engineering fleet for agentic testing, providing automated test generation, execution, and quality assurance workflows for AI-assisted development.
AI-powered quality engineering agents that automatically generate tests, find coverage gaps, detect flaky tests, and learn codebase patterns, coordinating 60 specialized QE agents across 11 coding platforms.
A contract testing skill from the Agentic Quality Engineering Fleet, a TypeScript-based framework for autonomous quality engineering with multi-agent coordination.
Iterative testing loop skill for continuous quality improvement, automating test-fix-verify cycles with progressive refinement of test coverage.
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Tests n8n workflow security by detecting credential exposure, validating OAuth flows, verifying API key management, and checking data sanitization.
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