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pattern-test
Write and run pattern tests
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tools testing AI 技能
发现 tools 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。
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GitHub
pattern-deploy
Deploy patterns and test with CLI
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GitHub
testing
Testing conventions for pikru. Use when running tests to avoid timeouts. DO NOT run the full test suite.
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GitHub
subtest-isolation
Create minimal subtests to isolate and fix complex bugs. Use when a test fails and the issue is buried in complexity.
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GitHub
spectr-validate-wo-spectr-bin
Validate Spectr specifications and change proposals without requiring the spectr binary USE WHEN you're in a sandboxed or restricted execution context and spectr is not available in your path. DO NOT USE WHEN y...
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GitHub
matlab-test-generator
Create comprehensive MATLAB unit tests using the MATLAB Testing Framework. Use when generating test files, test cases, unit tests, test suites, or when the user requests testing for MATLAB code, functions, or c...
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GitHub
blazemeter-api-monitoring
Comprehensive guide for BlazeMeter API Monitoring, including test creation, configuration, scripting, integrations, notifications, and management. Use when working with API Monitoring tests for (1) Creating and...
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GitHub
blazemeter-api-reference
Comprehensive reference for BlazeMeter REST APIs, including authentication, identifiers, and API endpoints. Use when working with BlazeMeter APIs for (1) Understanding BlazeMeter REST API structure, (2) Authent...
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GitHub
blazemeter-test-data
Comprehensive guide for BlazeMeter Test Data Management, including data entities, parameters, generation, orchestration, and management operations. Use when working with test data for (1) Creating and managing...
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GitHub
blazemeter-functional-testing
Comprehensive guide for BlazeMeter Functional Testing, including GUI Functional Tests, API Tests (deprecated), Action Library, and debugging. Use when working with Functional Testing for (1) Creating GUI Functi...
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GitHub
blazemeter-recorders
Comprehensive guide for BlazeMeter Recorders, including Chrome Extension and Proxy Recorder. Use when working with recorders for (1) Recording tests with Chrome Extension, (2) Creating and using Proxy Recorder,...
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GitHub
blazemeter-performance-testing
Comprehensive guide for BlazeMeter Performance Testing, including load configuration, reporting, JMeter configuration, Taurus, scenarios, and advanced features. Use when working with Performance tests for (1) C...
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GitHub
blazemeter-scripting
Comprehensive guide for BlazeMeter Scripting, including Groovy/Beanshell, JMeter plugins, JMeter DSL, and API Monitoring scripting. Use when working with scripting for (1) Writing files in Groovy/Beanshell scri...
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GitHub
blazemeter-getting-started
Getting started guides for BlazeMeter, including onboarding, migration guides, continuous testing journey, glossary, and mobile testing. Use when getting started with BlazeMeter for (1) Navigating BlazeMeter Un...
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GitHub
review-plan
Validate implementation plans against specs. Use after creating a plan to ensure full spec coverage and no ambiguities.
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GitHub
review-spec
Validate feature specs for relevance, edge cases, and compatibility with existing patterns. Use after creating a spec.
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GitHub
testing
Test writing and fixing methodology. Covers TDD, investigating failures, and delegating fixes to agents. Use when writing tests or diagnosing test failures.
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GitHub
tdd
Guide Test-Driven Development using Kent Beck's Red-Green-Refactor cycle. Use when writing tests, implementing features via TDD, or following plan.md test instructions.
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GitHub
go-testing-code-review
Reviews Go test code for proper table-driven tests, assertions, and coverage patterns. Use when reviewing *_test.go files.
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GitHub
swift-testing-code-review
Reviews Swift Testing code for proper use of
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GitHub
vitest-testing
Vitest testing framework patterns and best practices. Use when writing unit tests, integration tests, configuring vitest.config, mocking with vi.mock/vi.fn, using snapshots, or setting up test coverage. Trigger...
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GitHub
pytest-code-review
Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.
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GitHub
test-coverage-analyzer
Analyzes test coverage reports, identifies gaps, and recommends priority areas for testing. Use when reviewing coverage, finding untested code, or planning test improvements.
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GitHub
test-data-generator
Creates test fixtures, mock data, and test scenarios for unit and integration tests. Use when setting up test data, creating mocks, or generating test fixtures.
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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。