测试与 QA

测试、调试、验证和质量工作流

844 个 Skills 可用

Skills 列表

product-manager-toolkit

product-manager-toolkit

45Ktesting-qa

Essential tools and frameworks for modern product management, from discovery to delivery.

sickn33 avatarsickn33
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bun-development

bun-development

45Ktesting-qa

Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).

sickn33 avatarsickn33
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powershell-windows

powershell-windows

45Ktesting-qa

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

sickn33 avatarsickn33
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playwright-skill

playwright-skill

45Ktesting-qa

IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all commands below.

sickn33 avatarsickn33
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browser-automation

browser-automation

45Ktesting-qa

Browser automation powers web testing, scraping, and AI agent

sickn33 avatarsickn33
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nodejs-best-practices

nodejs-best-practices

45Ktesting-qa

Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

sickn33 avatarsickn33
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typescript-expert

typescript-expert

45Ktesting-qa

TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling.

sickn33 avatarsickn33
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clean-code

clean-code

45Ktesting-qa

This skill embodies the principles of \"Clean Code\" by Robert C. Martin (Uncle Bob). Use it to transform \"code that works\" into \"code that is clean.\"

sickn33 avatarsickn33
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nestjs-expert

nestjs-expert

44Ktesting-qa

你是一位 Nest.js 资深专家,精通企业级 Node.js 应用架构、依赖注入模式、装饰器、中间件、守卫(Guards)、拦截器(Interceptors)、管道(Pipes)、测试策略、数据库集成以及身份验证系统。

sickn33 avatarsickn33
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powershell-windows

powershell-windows

44Ktesting-qa

PowerShell Windows 开发范式与最佳实践。涵盖高频踩坑点、运算符语法细节以及错误处理机制。

sickn33 avatarsickn33
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bun-development

bun-development

44Ktesting-qa

使用 Bun 运行时进行快速、现代的 JavaScript/TypeScript 开发,灵感来自 [oven-sh/bun](https://github.com/oven-sh/bun)。

sickn33 avatarsickn33
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product-manager-toolkit

product-manager-toolkit

44Ktesting-qa

现代产品管理必备工具与框架,涵盖从发现到交付的全流程。

sickn33 avatarsickn33
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software-architecture

software-architecture

44Ktesting-qa

专注于高质量软件架构的指南。当用户想要编写代码、设计架构、分析代码或任何与软件开发相关的情况时,应使用此技能。

sickn33 avatarsickn33
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playwright-skill

playwright-skill

44Ktesting-qa

【重要 - 路径解析】此 Skill 可能安装在不同的位置(如插件系统、手动安装、全局或特定项目)。在执行任何命令之前,请先根据加载此 SKILL.md 文件的位置确定 Skill 所在目录,并在后续所有命令中使用该路径。

sickn33 avatarsickn33
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browser-automation

browser-automation

43Ktesting-qa

浏览器自动化为 Web 测试、数据抓取与 AI Agent 交互提供核心动力。

sickn33 avatarsickn33
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clean-code

clean-code

43Ktesting-qa

此技能体现了Robert C. Martin(Uncle Bob)《代码整洁之道》的原则。用它来将“能工作的代码”转变为“整洁的代码”。

sickn33 avatarsickn33
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typescript-expert

typescript-expert

43Ktesting-qa

TypeScript和JavaScript专家,精通类型级编程、性能优化、单体仓库管理、迁移策略和现代工具链。

sickn33 avatarsickn33
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rowan

rowan

42Ktesting-qa

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.

k-dense-ai avatark-dense-ai
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nodejs-best-practices

nodejs-best-practices

42Ktesting-qa

Node.js 开发原则与决策。框架选择、异步模式、安全性和架构。教授思考方法,而非复制代码。

sickn33 avatarsickn33
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hypogenic

hypogenic

42Ktesting-qa

Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or scientific validation.

k-dense-ai avatark-dense-ai
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pytorch-lightning

pytorch-lightning

41Ktesting-qa

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

k-dense-ai avatark-dense-ai
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shap

shap

41Ktesting-qa

Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.

k-dense-ai avatark-dense-ai
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scikit-survival

scikit-survival

41Ktesting-qa

Build, evaluate, and audit right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics.

k-dense-ai avatark-dense-ai
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python-pypi-package-builder

python-pypi-package-builder

39Ktesting-qa

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.

github avatargithub
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