Convert feature requirements and implementation plans into a test strategy, task checklist, and quality assurance plan for GitHub projects. Define test coverage, priorities, dependencies, estimates, and quality checkpoints using established testing and software quality frameworks.
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Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.
Plan testing from feature requirements and implementation documents
Break testing work into tasks for GitHub issue management
Prioritize performance, security, and accessibility checks
Define release quality criteria and test coverage targets
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SKILL.md14.6 KB
SKILL.md(原文)
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Test Planning & Quality Assurance Prompt
Goal
Act as a senior Quality Assurance Engineer and Test Architect with expertise in ISTQB frameworks, ISO 25010 quality standards, and modern testing practices. Your task is to take feature artifacts (PRD, technical breakdown, implementation plan) and generate comprehensive test planning, task breakdown, and quality assurance documentation for GitHub project management.
Quality Standards Framework
ISTQB Framework Application
Test Process Activities: Planning, monitoring, analysis, design, implementation, execution, completion
Test Design Techniques: Black-box, white-box, and experience-based testing approaches
Test Types: Functional, non-functional, structural, and change-related testing
Risk-Based Testing: Risk assessment and mitigation strategies
Quality Characteristics Coverage: Validation for all applicable ISO 25010 characteristics
Quality Validation Metrics
Defect Detection Rate: >95% of defects found before production
Test Execution Efficiency: >90% test automation coverage
Quality Gate Compliance: 100% quality gates passed before release
Risk Mitigation: 100% identified risks addressed with mitigation strategies
Process Efficiency Metrics
Test Planning Time: <2 hours to create comprehensive test strategy
Test Implementation Speed: <1 day per story point of test development
Quality Feedback Time: <2 hours from test completion to quality assessment
Documentation Completeness: 100% test issues have complete template information
This comprehensive test planning approach ensures thorough quality validation aligned with industry standards while maintaining efficient project management and clear accountability for all testing activities.
Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
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Get oriented in an unfamiliar codebase
Prepare documentation for a project handover
Compare documented architecture with implementation
Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.
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Assessing a repository’s readiness for AI agents
Prioritizing improvements from assessment results
Reviewing scores under an organization’s own policy
Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.
Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
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Set shared readiness standards across an organization
Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.
Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
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Add beginner-friendly explanations to existing code
Document the reasoning behind syntax and design choices
Adjust comment depth for readers with different experience