36 lines
2.0 KiB
Markdown
36 lines
2.0 KiB
Markdown
# QA Bug Report Prompt
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A specialized .cursorrules prompt for creating standardized bug reports with clear reproduction steps and detailed environmental context for efficient bug resolution.
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## What You Can Build
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- **Structured Bug Reports**: Standardized, comprehensive bug reports for any bug tracking system
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- **Severity Assessments**: Objective evaluation of bug impact with appropriate severity levels
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- **Reproduction Guides**: Clear, step-by-step instructions to reproduce issues
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- **Environmental Profiles**: Detailed specifications of the conditions under which bugs occur
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- **Cross-Platform Reports**: Bug documentation adaptable for different platforms and browsers
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## Benefits
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- **Clear Communication**: Structured format that clearly communicates issues to developers
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- **Faster Resolution**: Complete information that speeds up debugging and fixes
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- **Reduced Back-and-Forth**: Comprehensive reports that minimize clarification questions
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- **Prioritization Support**: Severity assessments that help teams prioritize bug fixes
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- **Documentation Quality**: Professional-quality bug reports suitable for any tracking system
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- **Knowledge Transfer**: Educational examples that help teams improve bug reporting skills
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## Synopsis
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This prompt helps QA engineers create standardized, comprehensive bug reports that provide developers with all the information needed to understand, reproduce, and fix issues efficiently.
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## Overview of .cursorrules Prompt
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The .cursorrules prompt guides users in creating effective bug reports with these key elements:
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- **Standardized Structure**: Complete template with all essential bug report sections
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- **Severity Guidelines**: Clear definitions of five severity levels with examples
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- **Best Practices**: Ten key principles for writing effective bug reports
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- **Example Report**: Comprehensive example of a well-formatted bug report
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- **Adaptability Guidance**: Advice for customizing reports to specific tracking systems
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- **Objective Approach**: Focus on factual, reproducible information without blame
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