prompt▌

Guides developers through creating production-ready GitHub Copilot prompts with structured discovery and best practices. \n \n Systematically gathers requirements across nine discovery sections covering identity, persona, task specification, context, instructions, output format, tools, and validation \n Generates complete .prompt.md files with proper front matter, clear structure, and comprehensive instructions following established patterns \n Includes best practices for prompt engineering, too

Expert guidance for designing, testing, and optimizing prompts that reliably guide LLM behavior. \n \n Covers six core capabilities: prompt design and optimization, system prompt architecture, context window management, output format specification, few-shot example design, and prompt testing and evaluation \n Provides structured patterns for system prompts, few-shot examples, and chain-of-thought reasoning with explicit anti-patterns and sharp edges to avoid \n Emphasizes systematic evaluation a