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Repositório GitHub

porygon_t

porygon_t contém 3 skills coletadas de FanaticsKang, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
3
Stars
1
atualizado
2026-03-05
Forks
1
Cobertura ocupacional
1 categorias ocupacionais · 100% classificado
explorador de repositórios

Skills neste repositório

calculate-coverage
Analistas de garantia de qualidade de software e testadores

Calculate test coverage for Python code and generate visual charts. Use this skill when the user needs to compute line and branch coverage for Python tests, generate coverage percentage reports, and create visual charts showing coverage metrics. This skill is particularly useful in testing pipelines, CI/CD workflows, and quality assurance processes where automated coverage analysis and visualization are needed. Trigger this skill when the user mentions: - Calculating test coverage - Generating coverage reports - Creating coverage visualizations - Measuring line or branch coverage - Analyzing test coverage metrics - Visualizing coverage data with charts - Running coverage analysis for Python tests The skill takes a test file and source code file as input, runs coverage analysis, and outputs coverage percentages along with visual charts in the specified directory.

2026-03-05
check-test-exists
Analistas de garantia de qualidade de software e testadores

检查指定源代码文件对应的测试文件是否存在,并返回测试文件的基本信息。 当用户需要检查测试文件是否存在、获取测试用例数量或了解测试文件最后修改时间时使用此技能。 此技能专为测试自动化流水线设计,用于判断是否需要生成新测试或更新现有测试。 使用此技能的场景包括:检查测试覆盖率、评估测试完整性、决定是否运行测试、或作为测试生成流程的决策依据。

2026-03-05
run-tests
Analistas de garantia de qualidade de software e testadores

Use this skill when you need to execute Python pytest tests, calculate code coverage, generate matplotlib visualizations, and create structured summary reports. This skill handles the entire test execution workflow including running tests with coverage metrics, creating visual charts, and producing markdown summaries. It's designed for testing pipelines where automated test execution and reporting is needed. Use this skill whenever the user mentions running tests, executing pytest, generating test summaries, calculating code coverage, creating coverage charts, or needs structured test results. This is particularly useful in CI/CD pipelines, automated testing workflows, and quality assurance processes.

2026-03-05