testing-fundamentals
Implement professional TDD workflows with strict 80% coverage, automated testing strategies, and AAA pattern enforcement for robust, high-quality code.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
136 skills found
Implement professional TDD workflows with strict 80% coverage, automated testing strategies, and AAA pattern enforcement for robust, high-quality code.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
A generative agent skill for creating ASCII art, optimized for rapid, single-pass artistic output without iterative refinement.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Apply the Six Thinking Hats methodology to software testing for structured, comprehensive quality analysis, test strategy design, and team discussions.
Generate structured development plans, checklists, and file contexts compatible with the IntelliJ coding-aider plugin.
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
Generate AGENTS.md and AI configuration files (Cursor, Claude, Gemini, Copilot) for your project to streamline your vibe-coding workflow and maintain context across sessions.
Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.
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.
Production-grade Playwright testing toolkit. Automate E2E testing, fix flaky tests, perform migrations from Cypress/Selenium, and integrate with CI/CD, TestRail, and BrowserStack.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.