Convert pytest and Jest tests into PCL documents and Mermaid coverage reports.
npx skills add https://github.com/cyberyimein/TeaForge --skill teaforge
Please help me install this Agent Skill. Skill: TeaForge Source: https://github.com/cyberyimein/TeaForge/tree/main/skill Command: npx skills add https://github.com/cyberyimein/TeaForge --skill teaforge
TeaForge empowers AI agents to convert Python pytest and TypeScript/Jest suites into Japanese-style unit test documentation and Mermaid-enhanced coverage reports, giving clear guidance on parameter and branch coverage while preventing undisciplined test generation.
teaforge pcl generate, optionally export HTML to PDF, and query individual test cases with teaforge get.flowchart TD diagrams, validate and persist them, then run teaforge coverage generate with the repeated --function flags to produce coverage reports that include those diagrams.Use TeaForge to convert the pytest suite for user_service into PCL HTML and Mermaid coverage diagrams for its branching business functions.
High-intent search queries and answers about installing and using this skill.
You can convert pytest and jest tests into structured documentation by running TeaForge CLI commands to generate Japanese-style PCL HTML and Mermaid coverage flowcharts for every non-trivial business function.
A PCL document is a Japanese-style unit test report that identifies normal, boundary, and abnormal parameters to guarantee parameter and branch coverage visibility for your test suites.
You generate Mermaid flowcharts by authoring `flowchart TD` diagrams for branching business functions, then running `teaforge coverage generate` with repeated `--function` flags to produce coverage reports that include those diagrams.
Yes, you can export pytest test documentation to PDF by first generating PCL HTML and then optionally exporting the HTML output to PDF format using the TeaForge CLI pipeline.
Yes, TeaForge works with TypeScript Jest modules to automate test documentation and auditing, ensuring single-responsibility, minimal-delta test cases and C1 branch coverage visibility.
Japanese-style test methodology enforces identifying every branch to reach C1 coverage and maintains single-responsibility test cases, preventing undisciplined test generation across your Python pytest and TypeScript Jest suites.
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