prompt-builder

Generate production-ready .prompt.md templates with structured frontmatter and YAML metadata.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/BrunoAMSilva/my-config --skill prompt-builder-brunoamsilva
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-builder
Source: https://github.com/BrunoAMSilva/my-config/tree/main/coding/skills/prompt-builder
Command: npx skills add https://github.com/BrunoAMSilva/my-config --skill prompt-builder-brunoamsilva

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams and developers quickly convert a concept for a Copilot prompt into a production-ready blueprint by guiding discovery, formatting requirements, and output structure.

Core Features & Use Cases

  • Structured prompt discovery: defines identity, persona, tasks, inputs, constraints, and outputs.
  • Template generation: outputs a ready-to-use .prompt.md with frontmatter and consistent sections.
  • Validation & maintainability: ensures descriptions, examples, and instructions adhere to standards for reuse.

Quick Start

Answer the discovery questions to specify the prompt's identity, audience, tasks, inputs, constraints, and outputs, then generate a complete .prompt.md file.

Frequently Asked Questions about prompt-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a production-ready Copilot prompt for code generation?

To create a Copilot prompt, you need to define its identity, tasks, inputs, constraints, and expected outputs. This ensures consistent prompt quality by generating a ready-to-use .prompt.md file with structured frontmatter and standardized Markdown sections.

What is a .prompt.md template and when do I need one for software development?

A .prompt.md template is a Markdown file with YAML frontmatter used for prompt-engineering workflows. You need one when converting concepts into production-ready Copilot prompts for tasks like code generation, analysis, and documentation to ensure reuse and discoverability.

How do I structure Copilot prompt metadata for consistent reuse across projects?

You structure Copilot prompt metadata by using a generated YAML-based block with mandatory fields for discovery. This enforces standardized sections within the Markdown body and frontmatter, ensuring descriptions and instructions maintain validation and maintainability across projects.

Can I use prompt-engineering templates for software documentation and analysis tasks?

Yes, prompt-engineering templates apply to software development tasks such as code generation, analysis, and documentation. They guide the discovery of requirements and format outputs into a structured .prompt.md file, ensuring consistent quality across various software engineering workflows.

What is the best way to format Copilot prompts for team discovery and maintainability?

The best way to format Copilot prompts is to use a .prompt.md template with structured frontmatter and a generated YAML-based metadata block. This enforces mandatory fields and standardized Markdown sections, ensuring validation and maintainability for product teams.

Do I need prior prompt-engineering experience to generate a standardized prompt template?

No, you do not need prior experience because the template generation process guides you through discovery questions. It helps you specify identity, audience, tasks, inputs, constraints, and outputs, then automatically generates a complete and validated .prompt.md file.