Add technology-agnostic blueprint generators for comprehensive project documentation that helps GitHub Copilot to generate instructions that respect project-specific conventions.

• Add architecture-blueprint-generator for documenting system design patterns
• Add code-exemplars-blueprint-generator for identifying quality code standards
• Add copilot-instructions-blueprint-generator for creating AI guidance files
• Add folder-structure-blueprint-generator for documenting project organization
• Add project-workflow-blueprint-generator for end-to-end process documentation
• Add readme-blueprint-generator for comprehensive repository documentation
• Add technology-stack-blueprint-generator for tech stack analysis

Pull Request Checklist

• I have read and followed the CONTRIBUTING.md guidelines.
• My contribution adds a new instruction, prompt, or chat mode file in the correct directory.
• The file follows the required naming convention.
• The content is clearly structured and follows the example format.
• I have tested my instructions, prompt, or chat mode with GitHub Copilot.
• I have run node update-readme.js and verified that README.md is up to date.

Description

Overview

This PR introduces a collection of 7 technology-agnostic blueprint generators that enable teams to automatically analyze and document their codebases comprehensively. These prompts help generate standardized documentation across different technology stacks while maintaining consistency and following best practices.

What's Included

• Architecture Blueprint Generator - Analyzes and documents system architecture patterns, component relationships, and design decisions
• Code Exemplars Blueprint Generator - Identifies high-quality code examples to establish coding standards and maintain consistency
• Copilot Instructions Blueprint Generator - Creates comprehensive GitHub Copilot instructions based on actual codebase patterns
• Folder Structure Blueprint Generator - Documents project organization patterns and file placement conventions
• Project Workflow Blueprint Generator - Analyzes end-to-end application workflows and implementation patterns
• README Blueprint Generator - Generates comprehensive README files by analyzing existing project documentation
• Technology Stack Blueprint Generator - Documents technology choices, versions, and implementation patterns

Key Features

• Technology Agnostic: Auto-detects and supports multiple tech stacks (.NET, Java, JavaScript, React, Python, etc.)
• Configurable Variables: Each generator includes customizable parameters for different analysis depths and output formats
• Pattern Recognition: Analyzes existing code to extract and document established patterns rather than imposing external conventions
• Implementation Ready: Provides actionable templates and guidelines for maintaining consistency

Usage Context

These generators are designed to help development teams:

• Onboard new developers faster with comprehensive documentation
• Maintain architectural consistency across projects
• Establish coding standards based on existing patterns
• Generate GitHub Copilot instructions that respect project-specific conventions
• Create standardized project documentation automatically

Benefits

• Reduces documentation maintenance overhead
• Ensures documentation stays synchronized with actual code patterns
• Provides consistent structure across different project types
• Enables better knowledge transfer and team collaboration

Type of Contribution

• New instruction file.
• New prompt file.
• New chat mode file.
• Other (please specify):

Additional Notes

Technical Implementation

• Each generator uses variable substitution patterns (${VARIABLE}) for customization
• Includes comprehensive front matter with detailed descriptions
• Follows consistent naming conventions (*-blueprint-generator.prompt.md)

Integration

• Designed to work with the awesome-copilot instruction system
• Can be chained together for complete project documentation
• Outputs reference each other for comprehensive coverage

Future Enhancements

• Could be extended with additional technology stack support
• Integration with CI/CD pipelines for automated documentation updates
• Template library expansion based on community feedback

How to use Parameterized Prompts with Github Copilot Chat

Start your prompt by declaring the variables, then reference the template:

Example:

Set these variables:

• PROJECT_TYPE = "Auto-detect"
• DEPTH_LEVEL = "Standard"
• INCLUDE_VERSIONS = true
• INCLUDE_LICENSES = true
• INCLUDE_DIAGRAMS = false
• OUTPUT_FORMAT = "Markdown"
• CATEGORIZATION = "Technology Type"

Then analyze the codebase using the template from the active document.

By submitting this pull request, I confirm that my contribution abides by the Code of Conduct and will be licensed under the MIT License.