What problem does it solve? Writing effective GitHub Copilot prompt files requires knowledge of frontmatter configuration, tool selection, persona design, and output formatting conventions. This Skill walks you through a structured discovery process so the resulting .prompt.md file follows established best practices instead of ad-hoc guesswork. ## Core Features & Use Cases - Structured Discovery Interview: Asks targeted questions across nine areas including persona definition, task specification, context variables, tools, and validation criteria. - Template Generation: Produces a complete .prompt.md file with proper frontmatter (description, agent mode, tools, model) and organized instruction sections. - Best Practices Enforcement: Ensures prompts include clear structure, error handling, output standards, and validation criteria based on patterns from high-quality existing prompts. - Use Case: You want a reusable Copilot prompt that generates React components following your team's conventions. Answer the guided questions about persona, inputs, and output format, and receive a production-ready prompt file. ## Quick Start Ask the assistant to help you build a new Copilot prompt file and answer its discovery questions starting with the prompt's name and purpose.