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research testing AI Skills

Discover research testing skills, compare source repositories and read the instructions for each workflow.

Categories: research testing

Showing 361–384 of 4,437

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GitHub

compose-performance-audit

new-silvermoon

Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI...

GitHub

developer

aj-geddes

Implements user stories, writes clean tested code, follows best practices. Trigger keywords implement story, dev story, code, implement, build feature, fix bug, write tests, code review, refactor

GitHub

temporal-python-testing

benchflow-ai

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests o...

GitHub

fuzzing-python

benchflow-ai

Creating fuzz driver for Python libraries using LibFuzzer. This skill is useful when agent needs to work with creating fuzz drivers / fuzz targets for Python project and libraries.

GitHub

tdd

HoangNguyen0403

Enforces Test-Driven Development (Red-Green-Refactor) for rigorous code quality.

GitHub

python-testing-patterns

rmyndharis

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

GitHub

e2e-testing-patterns

rmyndharis

Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or es...

GitHub

ui-visual-validator

rmyndharis

Rigorous visual validation expert specializing in UI testing, design system compliance, and accessibility verification. Masters screenshot analysis, visual regression testing, and component validation. Use PROA...

GitHub

javascript-testing-patterns

rmyndharis

Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing...

GitHub

web3-testing

rmyndharis

Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi...

GitHub

test-automator

rmyndharis

Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testin...

GitHub

temporal-python-testing

rmyndharis

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests o...

GitHub

api-testing-observability-api-mock

rmyndharis

You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.

GitHub

tdd-orchestrator

rmyndharis

Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-as...

GitHub

playwright-local

jezweb

Build browser automation and web scraping with Playwright on your local machine. Prevents 10 documented errors including CI timeout hangs, extension testing failures, and Ubuntu compatibility issues. Includes s...

GitHub

testing-strategies

MadAppGang

Use when writing tests, setting up test frameworks, implementing mocking strategies, or establishing testing best practices (unit, integration, E2E) across any technology stack.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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