prompt-builder

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

Updated Apr 14, 2026

Search Tags:#automation #template #generation #frontmatter #copilot #prompt-engineering #prompt

Ready to run

npx skills add https://github.com/BrunoAMSilva/my-config --skill prompt-builder-brunoamsilva

💬 Prompt for ChatGPT / Claude Chat▼

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.