🧪测试自动化 MCP / Skill 推荐

SQLiteCpp change workflow checklists for API, tests, build files, and changelog updates.

GoogleTest patterns and testing practices for SQLiteCpp test coverage and structure.

SQLiteCpp CI workflow patterns. Use for GitHub Actions, AppVeyor, Travis, matrices, or test steps.

Builds SQLiteCpp with Meson. Use when configuring Meson builds, tests, or Meson options.

Build SQLiteCpp with CMake. Use for CMake builds, tests, options, or build scripts.

Adds Cursor Directory ambassador badges by name or email via Supabase. Resolves the person and sets users.is_ambassador. Use when the user asks to add, grant, or promote an ambassador, ambassador badge, or Cursor Ambassador.

Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.

Use when building multi-agent workflows with relay broker-sdk. Covers conversation vs pipeline coordination, WorkflowBuilder/DAG steps, agents, {{steps.X.output}} chaining, repairable verification gates, evidence-based completion, mandatory Claude-then-Codex fresh-eyes review/fix loops with test hardening, channels, chat-native recipes, error handling, event listeners, step sizing, lead+workers teams, and parallel waves.

Use when building multi-agent workflows with relay broker-sdk. Covers conversation vs pipeline coordination, WorkflowBuilder/DAG steps, agents, {{steps.X.output}} chaining, repairable verification gates, evidence-based completion, mandatory Claude-then-Codex fresh-eyes review/fix loops with test hardening, channels, chat-native recipes, error handling, event listeners, step sizing, lead+workers teams, and parallel waves.

Generate acceptance testing steps after completing a feature or bug fix. Use when the user asks for testing steps, a testing plan, or how to test something.

Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.

Test and deploy changes safely. Runs tests as a pre-deploy gate, deploys, then runs post-deploy verification. This is a TEMPLATE — customize the commands and checks for your specific deployment pipeline.

ClickHouse queries, Goose migrations, chdb test schema, or telemetry storage paths.

Use when writing, editing, refactoring, or debugging tests anywhere under `tests/**` (unit, integration, or end-to-end); authoring NUnit 4 test classes (`*Test`, `*IntegrationTest`); using NSubstitute mocks, AutoFixture with `[AutoMockData]` / `[InlineAutoMockData]` / `[Frozen]`, or AwesomeAssertions (NOT FluentAssertions); working with `CliIntegrationFixture`, `IntegrationTestFixture`, `MockFileSystem`, `TestableLogger`, `NUnitAnsiConsole`, or `New*` factory helpers; adding or updating E2E fixtures under `tests/Recyclarr.Cli.IntegrationTests.E2E/`; editing `Fixtures/recyclarr.yml`, `metadata.json`, `cf/`, `cf-groups/`, or `quality-profiles/` fixture folders; running `Run-E2ETests.ps1` or `scripts/coverage.py`; investigating flaky tests, coverage gaps, or Testcontainers setup. Triggers on phrases like "write a test", "fix this test", "improve coverage", "add an E2E case", "mock this dependency", or any edit to `*.Tests.csproj` or files under `tests/**`.

VERIFY your changes work. Measure CLS, detect theme flicker, test visual stability, check performance. Use BEFORE and AFTER making changes to confirm fixes. Includes ready-to-run scripts: measure-cls.ts, detect-flicker.ts

Apply TypeScript style rules that prefer checked literal typing with satisfies and as const satisfies over unsafe assertions. Use when writing or reviewing TypeScript or TSX code, test fixtures, typed object literals, mocks, config objects, or table-driven cases.

后端测试编写指南，包括单元测试、集成测试和E2E测试的编写方法和最佳实践

Use when debugging or verifying numerical parity between pipeline implementations (e.g., research repo vs diffusers, standard vs modular). Also relevant when outputs look wrong — washed out, pixelated, or have visual artifacts — as these are usually parity bugs.

Test the Infisical secrets management UI end-to-end. Use when verifying secret CRUD operations, URL encoding fixes, or frontend API layer changes.

Automation and verification guide for running zero-native WebView shell apps. Use when the user asks to test an app, inspect runtime state, list windows, wait for readiness, reload a WebView, send bridge commands, debug why automation is not connected, create smoke tests, or verify a zero-native example in a GUI-capable session.

Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.

Build MCP servers in Python with FastMCP. Define tools / resources / prompts, build the server, test locally, deploy to FastMCP Cloud or Docker. Use whenever the user mentions building an MCP server, exposing tools to LLMs, FastMCP, building a Claude integration, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.

Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.

Use for authorized SQL injection testing with the sqlmap CLI, including detection, DBMS fingerprinting, request replay, and extraction checks against in-scope web targets.

Testing patterns and principles. Unit, integration, mocking strategies.

Analyzes codebases to identify refactoring opportunities based on Martin Fowler's catalog of code smells and refactoring techniques. Detects duplicated code, high coupling, complex conditionals, primitive obsession, long functions, and other structural issues. Produces a structured refactoring report with prioritized findings saved to docs/_refacs/. Use when auditing code quality, preparing for a refactoring sprint, or reviewing architectural health. Don't use for style/formatting issues, performance optimization, or security audits.

Testing standards for LoongCollector: unit tests, e2e tests, benchmarks. Reference when writing or reviewing tests.

Review Scout UI/API tests (including Scout test migrations) for best practices, reuse, and parity.

Coding conventions, architecture patterns, and testing rules for the SkillHub React frontend. Ensures agents follow Feature-Sliced Design and use the generated OpenAPI types.

Testing conventions, CI pipeline rules, and smoke test coverage for SkillHub. Ensures agents write tests correctly and understand the CI gate requirements.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.

Instructions for changes verification. It's a mandatory read when 1. asked for running any kind of tests, or 2. Finished implementing a milestone - always after finishing a plan.

Testing patterns for Quarkus extensions: test annotations, test locations, QuarkusExtensionTest patterns, and how to run tests.

Mobile application security testing — Android (smali, Frida, IL2CPP, Flutter AOT, root detection), iOS (jailbreak, Objection).

Backend tech-stack identification — web servers, runtimes, languages, frameworks, databases, APIs, and CMS via HTTP headers, cookies, error pages, and API discovery.

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.

Use BEFORE editing any file in `supabase/migrations/` or `supabase/schemas/`, OR when the user runs `/database <subcommand>` (`compact local migration`, `rls scenarios`, `align`). Encodes the three contracts that protect the Grida database layer: applied migrations are immutable, RLS implementation mirrors tests (never the reverse), `schemas/*.sql` is the human-readable end-state. Companion to `supabase/AGENTS.md` (RLS, grants, security boundaries).

Review a Deno runtime pull request for correctness, tests, security, and conventions. Use when asked to review a PR or when a PR number/URL is provided for review.

Remote JavaScript console access and debugging on mobile devices. Use when debugging web pages on phones/tablets, accessing console errors without desktop DevTools, testing responsive designs on real devices, or diagnosing mobile-specific issues. Covers Eruda, vConsole, Chrome/Safari remote debugging, and cloud testing platforms.

Benchmark and autoscaling test harness for Huawei Cloud CSS (OpenSearch). Use when the task is to evaluate CSS performance, run load tests, validate query quality, test data-node horizontal autoscaling, or generate consolidated benchmark reports for CSS clusters.

Plan test automation strategies including ROI analysis, automation candidate selection, framework evaluation, and maintainable automation architecture.

Production-grade test automation skill covering Selenium, Cypress, Playwright, Appium with POM architecture, retry logic, and CI/CD integration

CSS fundamentals - selectors, specificity, box model, positioning, units

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

Interactive testing of Podman Desktop UI using the electron-test MCP server. Supports both production (installed app) and development (pnpm watch) modes. Use for manually testing UI workflows, debugging UI issues, exploring features, or quick acceptance testing.

Testing patterns for behavior-driven tests. Use when writing tests, creating test factories, structuring test files, or deciding what to test. Do NOT use for UI-specific testing (see front-end-testing or react-testing skills).

Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from clean, airy, high-taste, readable image-generated concept design with section-specific references, faithful implementation, and browser testing.