测试与 QA

测试、调试、验证和质量工作流

844 个 Skills 可用

Skills 列表

ai-slop-cleaner

ai-slop-cleaner

39Ktesting-qa

Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

yeachan-heo avataryeachan-heo
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github-actions-efficiency

github-actions-efficiency

39Ktesting-qa

Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.

github avatargithub
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architecture-patterns

architecture-patterns

38Ktesting-qa

实现经过验证的后端架构模式,包括整洁架构、六边形架构和领域驱动设计。在设计新微服务的整洁架构、重构单体应用以使用限界上下文、实现六边形或洋葱架构模式,或调试应用层之间的依赖循环时,使用此技能。

wshobson avatarwshobson
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python-testing-patterns

python-testing-patterns

38Ktesting-qa

使用 pytest、fixture、mock 和测试驱动开发实现全面的测试策略。在编写 Python 测试、设置测试套件或实施测试最佳实践时使用。

wshobson avatarwshobson
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gtm-board-and-investor-communication

gtm-board-and-investor-communication

38Ktesting-qa

Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.

github avatargithub
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gtm-0-to-1-launch

gtm-0-to-1-launch

38Ktesting-qa

Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups.

github avatargithub
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sandbox-npm-install

sandbox-npm-install

38Ktesting-qa

Install npm packages in a Docker sandbox environment. Use this skill whenever you need to install, reinstall, or update node_modules inside a container where the workspace is mounted via virtiofs. Native binaries (esbuild, lightningcss, rollup) crash on virtiofs, so packages must be installed on the local ext4 filesystem and symlinked back.

github avatargithub
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reviewing-oracle-to-postgres-migration

reviewing-oracle-to-postgres-migration

38Ktesting-qa

Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.

github avatargithub
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creating-oracle-to-postgres-migration-integration-tests

creating-oracle-to-postgres-migration-integration-tests

38Ktesting-qa

Creates integration test cases targeting Oracle for .NET data access artifacts. Tests capture Oracle expected behavior as the authoritative baseline; they are written once and later ported to PostgreSQL by migrating the test project in Phase 6. Use only during Phase 3, before any PostgreSQL migration work has begun. Do not invoke during Phase 6 or against a project that has already been migrated.

github avatargithub
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unit-test-vue-pinia

unit-test-vue-pinia

38Ktesting-qa

Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases. Use when creating or updating tests for components, composables, and stores; mocking Pinia with createTestingPinia; applying Vue Test Utils patterns; and enforcing black-box assertions over implementation details.

github avatargithub
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planning-oracle-to-postgres-migration-integration-testing

planning-oracle-to-postgres-migration-integration-testing

38Ktesting-qa

Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.

github avatargithub
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flowstudio-power-automate-debug

flowstudio-power-automate-debug

38Ktesting-qa

Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app

github avatargithub
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spring-boot-testing

spring-boot-testing

38Ktesting-qa

Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.

github avatargithub
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flowstudio-power-automate-build

flowstudio-power-automate-build

38Ktesting-qa

Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app

github avatargithub
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autoresearch

autoresearch

37Ktesting-qa

适用于任何编程任务的自主迭代实验循环。引导用户定义目标、可衡量的指标和范围约束,然后运行一个自主循环:代码修改、测试、测量,并保留或丢弃结果。灵感来自 Karpathy 的 autoresearch。用途:自主改进、迭代优化、实验循环、自动研究、性能调优、自动化实验、爬山法、自动尝试、优化代码、运行实验、自主编码循环。不适用于:一次性任务、简单 bug 修复、代码审查,或没有可衡量指标的任务。

github avatargithub
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eval-driven-dev

eval-driven-dev

37Ktesting-qa

使用评估驱动开发改进AI应用。定义评估标准、对应用进行插桩、构建黄金数据集、观察和评估应用运行、分析结果,并生成具体的改进行动计划。当用户要求为任何调用LLM模型的Python项目设置QA、添加测试、添加评估、进行基准测试、修复错误行为、改进质量或进行质量保证时,始终使用此技能。

github avatargithub
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winui3-migration-guide

winui3-migration-guide

37Ktesting-qa

UWP 到 WinUI 3 迁移参考。将旧版 UWP API 映射到正确的 Windows App SDK 等效项,并附有前后代码片段。涵盖命名空间更改、线程处理(CoreDispatcher 到 DispatcherQueue)、窗口管理(CoreWindow 到 AppWindow)、对话框、选择器、共享、打印、后台任务以及最常见的 Copilot 代码生成错误。

github avatargithub
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statistical-analysis

statistical-analysis

37Ktesting-qa

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

k-dense-ai avatark-dense-ai
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mentoring-juniors

mentoring-juniors

37Ktesting-qa

针对初级开发者和 AI 新手的苏格拉底式导师指导。只通过提问引导,绝不直接给答案。触发词:"help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode"。包含渐进式提示系统、教学技巧与成功衡量指标。

github avatargithub
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power-bi-model-design-review

power-bi-model-design-review

37Ktesting-qa

全面的 Power BI 数据模型设计审查提示,用于评估模型架构、关系和优化机会。

github avatargithub
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php-mcp-server-generator

php-mcp-server-generator

37Ktesting-qa

使用官方 PHP SDK 生成一个完整的 PHP 模型上下文协议服务器项目,包含工具、资源、提示和测试。

github avatargithub
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csharp-mstest

csharp-mstest

37Ktesting-qa

获取 MSTest 3.x/4.x 单元测试的最佳实践,包括现代断言 API 和数据驱动测试

github avatargithub
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csharp-tunit

csharp-tunit

37Ktesting-qa

获取 TUnit 单元测试的最佳实践,包括数据驱动测试

github avatargithub
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kotlin-mcp-server-generator

kotlin-mcp-server-generator

37Ktesting-qa

生成一个完整的 Kotlin MCP 服务器项目,包含正确的结构、依赖关系以及使用官方 io.modelcontextprotocol:kotlin-sdk 库的实现。

github avatargithub
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