GitHub
coverage-readme-workflow
Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards
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data ai testing AI 技能
发现 data ai testing 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: data ai testing
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GitHub
tests
Guidelines for test-driven development.
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GitHub
test-generator-framework
Generic test generation framework supporting multiple languages and testing frameworks
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GitHub
mcp-test-harness
Build fully automated integration test suites for MCP (Model Context Protocol) servers using STDIO transport. Use when creating pytest tests for Python/FastMCP servers, Vitest tests for TypeScript servers, or u...
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GitHub
python-pytest-creator
Generate comprehensive pytest test files for Python using the test-generator-framework
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GitHub
go-table-driven-tests
Write Go table-driven tests following established patterns. Use when writing tests, creating test functions, adding test cases, or when the user mentions "test", "table-driven", "Go tests", or testing in Go cod...
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GitHub
test-driven-development
TDD workflows, Red-Green-Refactor, and testing frameworks (PHPUnit, Jest).
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GitHub
unit-test-loop
This skill should be used when the user asks to "improve test coverage", "add unit tests", "TDD", "test this module", "write tests for", "increase coverage", "/ut command", or discusses unit testing strategies....
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GitHub
testing-strategy
Design comprehensive testing strategies and optimize test coverage
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GitHub
e2e-test-loop
This skill should be used when the user asks for "browser tests", "playwright tests", "end-to-end testing", "test user flows", "E2E coverage", "integration tests for UI", "page object pattern", "/e2e command",...
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GitHub
verify
Check correctness against tests, specs, or invariants; produce pass/fail evidence. Use when validating changes, testing hypotheses, checking invariants, or confirming behavior matches expectations.
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GitHub
knockoff-usage
This skill should be used when the user asks about "KnockOff stubs", "create a stub", "mock with KnockOff", "[KnockOff] attribute", "[KnockOff] attribute", "OnCall", "OnGet", "OnSet", "setup stub behavior", "Ve...
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GitHub
triaging-playwright-failures
Automated E2E test failure classification and diagnosis workflow for Playwright tests. Triggers when user reports Playwright failures, E2E test errors, or requests test triage. Use for timeout, selector, networ...
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GitHub
checking-code-quality
Automated lint and test smoke check workflow for code quality verification. Triggers when user requests code quality checks, lint execution, test validation, or smoke testing. Use for pre-commit checks or quali...
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GitHub
verification-before-completion
Verification discipline - evidence-based completion claims, running verification commands before asserting success. Use before claiming any work is complete, fixed, or passing.
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GitHub
testing-strategies
Testing patterns including unit, integration, E2E tests and language-specific frameworks.
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GitHub
vitest-llm-docs
Fetch LLM-optimized documentation for Vitest, the Vite-native testing framework.
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GitHub
webapp-testing
Patterns for testing local web applications using Playwright. Use when verifying frontend functionality, debugging UI behavior, capturing screenshots, or testing dynamic web apps. Provides decision tree for cho...
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GitHub
visual-regression-snapshot-testing
Automate visual validation of component states to catch styling regressions.
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GitHub
concurrent-testing-methodologies
Develop rigorous testing methodologies that capture concurrency-related defects and regressions.
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GitHub
example-skill
A trial skill to verify the SKILL.md protocol implementation.
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GitHub
cdd
Context Driven Development pipeline for release workflows
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GitHub
testing
Write unit tests with Vitest and E2E tests with Playwright. Use when creating tests, writing test cases, setting up test fixtures, or when the user mentions test, testing, vitest, playwright, or coverage.
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GitHub
create-unit-test
Create Vitest unit tests following project patterns. Use when writing tests for functions, components, models, or route loaders/actions.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。