- revise software engineer agent description and principles for clarity
- remove interruption/resume and technical debt sections from spec-driven workflow instructions
- update README to reflect new agent description
- reduced verbosity while preserving all core concepts
- reorganized content for quicker scanning and clearer structure
- simplified artifact descriptions and adopted consistent naming
- refined peril/responsibility phrasing to eliminate redundancy
- added maintenance rules for artifact updates throughout the workflow
- reduced example boilerplate and aligned with current conventions
* feat: add C# TUnit testing prompt template
- Added csharp-tunit.prompt.md with structured prompt template
- Provides testing guidelines and best practices for C# development using TUnit framework
- Includes comprehensive testing patterns for .NET projects
* docs: add TUnit entry to README.md
- Added TUnit Best Practices entry after NUnit and before XUnit
- References prompts/csharp-tunit.prompt.md with proper description
- Includes VS Code and VS Code Insiders installation badges
* move: relocate TUnit prompt to prompts directory
- Move csharp-tunit.prompt.md from root to prompts/ directory
- Follow established project organization pattern
- All prompt files should be in the prompts directory
* feat: Add comprehensive AI Prompt Engineering & Safety Best Practices
- Add 868-line instruction file covering prompt engineering fundamentals, safety, bias mitigation, security, and responsible AI usage
- Add 527-line expert chat mode for prompt analysis and improvement with systematic evaluation frameworks
- Include detailed templates, checklists, examples, and educational resources
- Follow industry best practices from Microsoft, OpenAI, and Google AI principles
- Implement comprehensive safety assessment frameworks and bias detection tools
- Add advanced techniques: prompt chaining, templates, versioning, and testing frameworks
- Provide extensive references to official guidelines, research papers, and community resources
- Strictly comply with project guidelines (CONTRIBUTING.md, SECURITY.md, SUPPORT.md)
Total: 1,395 lines of professional-grade prompt engineering guidance
* feat: add comprehensive AI prompt engineering safety best practices instruction
- Add 868-line comprehensive instruction file covering prompt engineering fundamentals
- Include safety frameworks, bias mitigation, security best practices, and responsible AI usage
- Provide detailed templates, checklists, and testing methodologies
- Cover anti-patterns, prompt injection prevention, and ethical considerations
- Add educational content on prompt patterns, validation techniques, and documentation
- Include practical examples and real-world scenarios for developers
- Rename file to avoid conflict with existing prompt-engineer chat mode
- Update README with new instruction file
This instruction provides developers with industry-standard best practices for creating safe, effective, and responsible AI prompts for Copilot and other LLMs.
* fix: restore original prompt-engineer chat mode to match upstream
- Restore the original prompt-engineer.chatmode.md from upstream/main
- Remove overwritten comprehensive version to avoid duplication and conflict
- Ensure only the official, simple prompt engineer chat mode is present
All advanced prompt engineering best practices are now in the new instruction file only.
* chore: regenerate README after restoring original prompt engineer chat mode
- Re-run update-readme.js to ensure only the correct, original description for prompt-engineer.chatmode.md is present
- Remove any duplicate or outdated descriptions from previous comprehensive version
- README is now fully in sync with the restored chat mode and current repo state
* feat: add comprehensive AI prompt engineering safety review prompt
- Add 150+ line prompt file for AI prompt engineering safety review and improvement
- Include systematic analysis framework covering safety, bias, security, and effectiveness
- Provide structured output format with detailed assessment criteria
- Include safety guidelines, testing recommendations, and educational insights
- Complement the existing AI prompt engineering safety best practices instruction
- Follow repository guidelines and best practices for prompt creation
This prompt enables developers to systematically review and improve prompts for safety, bias mitigation, security, and responsible AI usage.
* feat: expand AI prompt engineering safety review prompt with comprehensive analysis
- Expand prompt from basic to comprehensive 200+ line analysis framework
- Add advanced pattern analysis covering zero-shot, few-shot, chain-of-thought, role-based patterns
- Include technical robustness assessment (input validation, error handling, scalability)
- Add performance optimization metrics (token efficiency, response quality, consistency)
- Enhance output format with detailed scoring and assessment criteria
- Include bias mitigation strategies, security enhancements, and technical improvements
- Provide extensive testing recommendations and educational insights
- Follow repository guidelines for comprehensive, actionable prompt content
This expanded prompt provides developers with a thorough, systematic approach to prompt safety review and improvement.
* Add comprehensive guidelines for DDD and .NET best practices
* docs: update docs to include new instructions
* fix: resolve typo in description of DDD and .NET architecture guidelines
* docs: run update-readme.js
