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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 enables comprehensive security assessments of SSH services. It covers enumeration, credential attacks, vulnerability exploitation, and configuration auditing using tools like Nmap, Hydra, and Metasploit. Suitable for authorized penetration testing and security research to identify weaknesses in SSH implementations.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

This skill provides production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. It helps build reusable infrastructure components, standardize cloud resource provisioning, and implement infrastructure as code best practices. Users can create multi-cloud compatible modules and establish organizational Terraform standards. Includes guidance on module structure, variables, outputs, and testing with Terratest.

Master AI-powered test automation using modern frameworks like Playwright and Selenium. Implement self-healing tests, CI/CD integration, and quality engineering strategies. Covers TDD, performance testing, and cross-platform validation for scalable software delivery.

This skill reviews generated or changed test code against universal testing rules before deployment. It prevents common failure modes like mock-heavy unit tests, near-duplicate test bodies, and tests that re-verify the framework. It enforces best practices such as testing behavior over implementation, justifying mocks at system boundaries, and ensuring every test has a clear justification. Use it when reviewing diffs, new test files, or when writing new tests to ensure high-quality, maintainable test suites.

Jest testing patterns including factory functions, mocking strategies, TDD workflow, and best practices for component and data testing. Useful for writing unit tests, creating reusable test factories, and following red-green-refactor cycles.

This skill generates comprehensive TestNG tests in Java, supporting groups, data providers, parallel execution, and XML suite configuration. It helps users create robust test suites with listeners, soft assertions, and lifecycle annotations. Ideal for Java projects requiring automated testing, CI/CD integration, and scalable test execution strategies.

This skill enables authorized security testing of desktop thick clients. It focuses on local storage, update channels, IPC, traffic interception, and client-side trust-boundary review. Techniques include reverse engineering, network analysis, and vulnerability assessment for C/S architectures like Electron or .NET.

This skill enables you to create interface designs, wireframes, and comprehensive design systems. It covers user research methodologies, accessibility standards like WCAG, and modern design tools such as Figma. The expert specializes in design tokenization, component libraries, and cross-platform consistency. Capabilities include usability testing, information architecture, visual design, interaction design, and design system governance. Ideal for building accessible, user-centered digital experiences across web, mobile, and desktop platforms.

This skill automates the creation of comprehensive unit tests across multiple programming languages like Python, JavaScript, and Java. It analyzes source code to identify functions and classes, then generates maintainable test suites with strong coverage, edge case handling, and proper mocking. Ideal for developers seeking consistent test structures and improved code quality without manual writing.

Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance. Use this router at the start of any n8n MCP task to load relevant skills, enforce non-negotiables like skill invocation before actions, validate and verify workflows, and keep secrets secure. Trust live tools and skills over training data.