ispc-lit-tests
Best practices for creating ISPC lit tests. Use when writing regression tests, verifying code generation, or checking compiler diagnostics.
Découvrez les skills data ai testing, comparez leurs dépôts et consultez leurs instructions.
Best practices for creating ISPC lit tests. Use when writing regression tests, verifying code generation, or checking compiler diagnostics.
Add UI automation tests to Trail-Sense Android app using AutomationLibrary. Use when asked to create, add, write, or implement automated tests, UI tests, integration tests, or androidTests for Trail Sense tools...
单元测试编写指南,涵盖 JUnit5/MockK 使用、测试命名规范、Mock 技巧、测试覆盖率要求、TDD 实践。当用户编写单元测试、Mock 依赖、提高测试覆盖率或进行测试驱动开发时使用。
单元测试编写指南,涵盖 JUnit5/MockK 使用、测试命名规范、Mock 技巧、测试覆盖率要求、TDD 实践。当用户编写单元测试、Mock 依赖、提高测试覆盖率或进行测试驱动开发时使用。
Unit and component testing for the frontend with Vitest and Testing Library. Keywords: Vitest, @testing-library/svelte, component tests, vi.mock, render, screen, fireEvent, userEvent, test.ts, spec.ts, describe...
Backend testing with xUnit, Foundatio.Xunit, integration tests with AppWebHostFactory, FluentClient, ProxyTimeProvider for time manipulation, and test data builders. Keywords: xUnit, Fact, Theory, integration t...
End-to-end frontend testing with Playwright. Page Object Model, selectors, fixtures, accessibility audits. Limited E2E coverage currently - area for improvement. Keywords: Playwright, E2E, Page Object Model, PO...
Wycheproof provides test vectors for validating cryptographic implementations. Use when testing crypto code for known attacks and edge cases.
cargo-fuzz is the de facto fuzzing tool for Rust projects using Cargo. Use for fuzzing Rust code with libFuzzer backend.
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when pro...
Ruzzy is a coverage-guided Ruby fuzzer by Trail of Bits. Use for fuzzing pure Ruby code and Ruby C extensions.
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.
Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.
Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks f...
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Systematic workflow for debugging by reproducing bugs with real data, reducing test cases to minimal examples, and adding regression tests
Debug crashes, segfaults, and memory errors using valgrind integration with nextest through pre-configured profiles
Write integration tests for the Autumn billing system. Use when creating tests, writing test scenarios for billing/subscription features, track/check endpoints, or when the user asks about testing, test cases,...
This skill should be used when generating comprehensive test cases from PRD documents or user requirements. Triggers when users request test case generation, QA planning, test scenario creation, or need structu...
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose high-impact tests, and confirm with the user befor...
Run and troubleshoot tests for DBHub, including unit tests, integration tests with Testcontainers, and database-specific tests. Use when asked to run tests, fix test failures, debug integration tests, or troubl...
Comprehensive Test Driven Development guide for engineering subagents with multi-framework support, coverage analysis, and intelligent test generation
Testing patterns, infrastructure, and fixtures for Recyclarr. Covers unit, integration, and E2E tests, coverage analysis scripts, debugging test failures, and test utilities.
Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.