Guide testing strategy, fixture architecture, ATDD, and CI/CD governance.
npx skills add https://github.com/JaronTam/SDONE --skill bmad-tea-jarontam
Please help me install this Agent Skill. Skill: bmad-tea Source: https://github.com/JaronTam/SDONE/tree/main/.agents/skills/bmad-tea Command: npx skills add https://github.com/JaronTam/SDONE --skill bmad-tea-jarontam
This Skill serves as a master test architect and quality advisor, providing comprehensive support for risk-based testing strategy, fixture architecture, ATDD, API and UI automation, CI/CD governance, and scalable quality gates to ensure high-quality and efficient testing processes.
Use the bmad-tea skill to initiate a session with Murat, the Master Test Architect and Quality Advisor.
High-intent search queries and answers about installing and using this skill.
Risk-based testing strategy calculates risk versus value for testing decisions to ensure high-quality processes. It provides comprehensive guidance to evaluate and prioritize testing efforts within CI/CD governance and scalable quality gates.
To generate failing acceptance tests for ATDD, this skill provides comprehensive guidance and tools to create implementation checklists. It activates a master test architect persona to offer tailored advice and resources for your specific story or feature.
Yes, a Python environment is required to utilize the Python scripts and Markdown files for customizing and operating the CI/CD quality pipeline scaffolding. Familiarity with testing concepts is also necessary to effectively use the provided tools.
The best way to prioritize API and UI automation tests is calculating risk versus value for every testing decision. This skill provides tools to generate API/E2E tests, fixtures, and definition of done summaries for your specific story or feature.
Fixture architecture supports scalable quality gates by providing a robust design framework for testing decisions. It calculates risk versus value to ensure efficient testing processes and comprehensive quality assurance within CI/CD pipelines.
Yes, pandas and matplotlib are utilized within the Python environment to operate the scripts for test architecture and quality assurance. These dependencies support the customization and operation of testing strategy and scalable quality gates.
cassm199-mitaGenerate diagrams and charts from Python scripts using matplotlib, diagrams, and graphviz.
bacocoGenerate risk-focused test strategies, ATDD scenarios, and CI/CD quality gates for BMAD deliverables.
petrkohutGuide risk-based testing strategy, fixture architecture, ATDD, and CI/CD quality gates.
wahabmalikGuide risk-based testing, fixture architecture, and quality assurance strategies.
