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v1.0.0
GitHub

About this Skill

Perfect for Multi-Technology Agents needing customized project blueprints for .NET, Java, JavaScript, and Python architectures. copilot-instructions-blueprint-generator is a skill that generates deterministic blueprints for AI agents using configuration variables such as project type, architecture style, and code quality focus

Features

Supports multiple project types including .NET, Java, JavaScript, TypeScript, React, Angular, and Python
Allows configuration of architecture styles such as Layered, Microservices, Monolithic, Domain-Driven, Event-Driven, and Serverless
Enables setting of code quality focus areas including Maintainability, Performance, Security, Accessibility, and Testability
Generates blueprints based on documentation levels such as Minimal, Standard, and Comprehensive
Supports auto-detection of project types for simplified configuration
Provides flexibility in setting quality priorities for AI-driven development

# Core Topics

sandriaas sandriaas
[0]
[0]
Updated: 2/27/2026

Quality Score

Top 5%
45
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add sandriaas/_dotfiles/copilot-instructions-blueprint-generator

Agent Capability Analysis

The copilot-instructions-blueprint-generator MCP Server by sandriaas is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use copilot-instructions-blueprint-generator, copilot-instructions-blueprint-generator setup guide, copilot-instructions-blueprint-generator alternative.

Ideal Agent Persona

Perfect for Multi-Technology Agents needing customized project blueprints for .NET, Java, JavaScript, and Python architectures.

Core Value

Empowers agents to generate tailored blueprints based on configuration variables like project type, architecture style, and code quality focus, utilizing technologies such as .NET, Java, JavaScript, and Python, and prioritizing aspects like maintainability, performance, security, and testability.

Capabilities Granted for copilot-instructions-blueprint-generator MCP Server

Generating microservices architecture blueprints for Python projects
Creating domain-driven design blueprints for .NET applications
Automating code quality assessments for JavaScript projects with a focus on security and accessibility
Designing event-driven architecture blueprints for Java applications
Developing comprehensive documentation for multi-technology projects

! Prerequisites & Limits

  • Requires specification of project type and architecture style
  • Limited to generating blueprints for specified technologies (.NET, Java, JavaScript, Python)
  • Dependent on the quality and accuracy of input configuration variables
Project
SKILL.md
14.1 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Copilot Instructions Blueprint Generator

Configuration Variables

${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|TypeScript|React|Angular|Python|Multiple|Other"} <!-- Primary technology --> ${ARCHITECTURE_STYLE="Layered|Microservices|Monolithic|Domain-Driven|Event-Driven|Serverless|Mixed"} <!-- Architectural approach --> ${CODE_QUALITY_FOCUS="Maintainability|Performance|Security|Accessibility|Testability|All"} <!-- Quality priorities --> ${DOCUMENTATION_LEVEL="Minimal|Standard|Comprehensive"} <!-- Documentation requirements --> ${TESTING_REQUIREMENTS="Unit|Integration|E2E|TDD|BDD|All"} <!-- Testing approach --> ${VERSIONING="Semantic|CalVer|Custom"} <!-- Versioning approach -->

Generated Prompt

"Generate a comprehensive copilot-instructions.md file that will guide GitHub Copilot to produce code consistent with our project's standards, architecture, and technology versions. The instructions must be strictly based on actual code patterns in our codebase and avoid making any assumptions. Follow this approach:

1. Core Instruction Structure

markdown
1# GitHub Copilot Instructions 2 3## Priority Guidelines 4 5When generating code for this repository: 6 71. **Version Compatibility**: Always detect and respect the exact versions of languages, frameworks, and libraries used in this project 82. **Context Files**: Prioritize patterns and standards defined in the .github/copilot directory 93. **Codebase Patterns**: When context files don't provide specific guidance, scan the codebase for established patterns 104. **Architectural Consistency**: Maintain our ${ARCHITECTURE_STYLE} architectural style and established boundaries 115. **Code Quality**: Prioritize ${CODE_QUALITY_FOCUS == "All" ? "maintainability, performance, security, accessibility, and testability" : CODE_QUALITY_FOCUS} in all generated code 12 13## Technology Version Detection 14 15Before generating code, scan the codebase to identify: 16 171. **Language Versions**: Detect the exact versions of programming languages in use 18 - Examine project files, configuration files, and package managers 19 - Look for language-specific version indicators (e.g., <LangVersion> in .NET projects) 20 - Never use language features beyond the detected version 21 222. **Framework Versions**: Identify the exact versions of all frameworks 23 - Check package.json, .csproj, pom.xml, requirements.txt, etc. 24 - Respect version constraints when generating code 25 - Never suggest features not available in the detected framework versions 26 273. **Library Versions**: Note the exact versions of key libraries and dependencies 28 - Generate code compatible with these specific versions 29 - Never use APIs or features not available in the detected versions 30 31## Context Files 32 33Prioritize the following files in .github/copilot directory (if they exist): 34 35- **architecture.md**: System architecture guidelines 36- **tech-stack.md**: Technology versions and framework details 37- **coding-standards.md**: Code style and formatting standards 38- **folder-structure.md**: Project organization guidelines 39- **exemplars.md**: Exemplary code patterns to follow 40 41## Codebase Scanning Instructions 42 43When context files don't provide specific guidance: 44 451. Identify similar files to the one being modified or created 462. Analyze patterns for: 47 - Naming conventions 48 - Code organization 49 - Error handling 50 - Logging approaches 51 - Documentation style 52 - Testing patterns 53 543. Follow the most consistent patterns found in the codebase 554. When conflicting patterns exist, prioritize patterns in newer files or files with higher test coverage 565. Never introduce patterns not found in the existing codebase 57 58## Code Quality Standards 59 60${CODE_QUALITY_FOCUS.includes("Maintainability") || CODE_QUALITY_FOCUS == "All" ? `### Maintainability 61- Write self-documenting code with clear naming 62- Follow the naming and organization conventions evident in the codebase 63- Follow established patterns for consistency 64- Keep functions focused on single responsibilities 65- Limit function complexity and length to match existing patterns` : ""} 66 67${CODE_QUALITY_FOCUS.includes("Performance") || CODE_QUALITY_FOCUS == "All" ? `### Performance 68- Follow existing patterns for memory and resource management 69- Match existing patterns for handling computationally expensive operations 70- Follow established patterns for asynchronous operations 71- Apply caching consistently with existing patterns 72- Optimize according to patterns evident in the codebase` : ""} 73 74${CODE_QUALITY_FOCUS.includes("Security") || CODE_QUALITY_FOCUS == "All" ? `### Security 75- Follow existing patterns for input validation 76- Apply the same sanitization techniques used in the codebase 77- Use parameterized queries matching existing patterns 78- Follow established authentication and authorization patterns 79- Handle sensitive data according to existing patterns` : ""} 80 81${CODE_QUALITY_FOCUS.includes("Accessibility") || CODE_QUALITY_FOCUS == "All" ? `### Accessibility 82- Follow existing accessibility patterns in the codebase 83- Match ARIA attribute usage with existing components 84- Maintain keyboard navigation support consistent with existing code 85- Follow established patterns for color and contrast 86- Apply text alternative patterns consistent with the codebase` : ""} 87 88${CODE_QUALITY_FOCUS.includes("Testability") || CODE_QUALITY_FOCUS == "All" ? `### Testability 89- Follow established patterns for testable code 90- Match dependency injection approaches used in the codebase 91- Apply the same patterns for managing dependencies 92- Follow established mocking and test double patterns 93- Match the testing style used in existing tests` : ""} 94 95## Documentation Requirements 96 97${DOCUMENTATION_LEVEL == "Minimal" ? 98`- Match the level and style of comments found in existing code 99- Document according to patterns observed in the codebase 100- Follow existing patterns for documenting non-obvious behavior 101- Use the same format for parameter descriptions as existing code` : ""} 102 103${DOCUMENTATION_LEVEL == "Standard" ? 104`- Follow the exact documentation format found in the codebase 105- Match the XML/JSDoc style and completeness of existing comments 106- Document parameters, returns, and exceptions in the same style 107- Follow existing patterns for usage examples 108- Match class-level documentation style and content` : ""} 109 110${DOCUMENTATION_LEVEL == "Comprehensive" ? 111`- Follow the most detailed documentation patterns found in the codebase 112- Match the style and completeness of the best-documented code 113- Document exactly as the most thoroughly documented files do 114- Follow existing patterns for linking documentation 115- Match the level of detail in explanations of design decisions` : ""} 116 117## Testing Approach 118 119${TESTING_REQUIREMENTS.includes("Unit") || TESTING_REQUIREMENTS == "All" ? 120`### Unit Testing 121- Match the exact structure and style of existing unit tests 122- Follow the same naming conventions for test classes and methods 123- Use the same assertion patterns found in existing tests 124- Apply the same mocking approach used in the codebase 125- Follow existing patterns for test isolation` : ""} 126 127${TESTING_REQUIREMENTS.includes("Integration") || TESTING_REQUIREMENTS == "All" ? 128`### Integration Testing 129- Follow the same integration test patterns found in the codebase 130- Match existing patterns for test data setup and teardown 131- Use the same approach for testing component interactions 132- Follow existing patterns for verifying system behavior` : ""} 133 134${TESTING_REQUIREMENTS.includes("E2E") || TESTING_REQUIREMENTS == "All" ? 135`### End-to-End Testing 136- Match the existing E2E test structure and patterns 137- Follow established patterns for UI testing 138- Apply the same approach for verifying user journeys` : ""} 139 140${TESTING_REQUIREMENTS.includes("TDD") || TESTING_REQUIREMENTS == "All" ? 141`### Test-Driven Development 142- Follow TDD patterns evident in the codebase 143- Match the progression of test cases seen in existing code 144- Apply the same refactoring patterns after tests pass` : ""} 145 146${TESTING_REQUIREMENTS.includes("BDD") || TESTING_REQUIREMENTS == "All" ? 147`### Behavior-Driven Development 148- Match the existing Given-When-Then structure in tests 149- Follow the same patterns for behavior descriptions 150- Apply the same level of business focus in test cases` : ""} 151 152## Technology-Specific Guidelines 153 154${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### .NET Guidelines 155- Detect and strictly adhere to the specific .NET version in use 156- Use only C# language features compatible with the detected version 157- Follow LINQ usage patterns exactly as they appear in the codebase 158- Match async/await usage patterns from existing code 159- Apply the same dependency injection approach used in the codebase 160- Use the same collection types and patterns found in existing code` : ""} 161 162${PROJECT_TYPE == "Java" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Java Guidelines 163- Detect and adhere to the specific Java version in use 164- Follow the exact same design patterns found in the codebase 165- Match exception handling patterns from existing code 166- Use the same collection types and approaches found in the codebase 167- Apply the dependency injection patterns evident in existing code` : ""} 168 169${PROJECT_TYPE == "JavaScript" || PROJECT_TYPE == "TypeScript" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### JavaScript/TypeScript Guidelines 170- Detect and adhere to the specific ECMAScript/TypeScript version in use 171- Follow the same module import/export patterns found in the codebase 172- Match TypeScript type definitions with existing patterns 173- Use the same async patterns (promises, async/await) as existing code 174- Follow error handling patterns from similar files` : ""} 175 176${PROJECT_TYPE == "React" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### React Guidelines 177- Detect and adhere to the specific React version in use 178- Match component structure patterns from existing components 179- Follow the same hooks and lifecycle patterns found in the codebase 180- Apply the same state management approach used in existing components 181- Match prop typing and validation patterns from existing code` : ""} 182 183${PROJECT_TYPE == "Angular" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Angular Guidelines 184- Detect and adhere to the specific Angular version in use 185- Follow the same component and module patterns found in the codebase 186- Match decorator usage exactly as seen in existing code 187- Apply the same RxJS patterns found in the codebase 188- Follow existing patterns for component communication` : ""} 189 190${PROJECT_TYPE == "Python" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Python Guidelines 191- Detect and adhere to the specific Python version in use 192- Follow the same import organization found in existing modules 193- Match type hinting approaches if used in the codebase 194- Apply the same error handling patterns found in existing code 195- Follow the same module organization patterns` : ""} 196 197## Version Control Guidelines 198 199${VERSIONING == "Semantic" ? 200`- Follow Semantic Versioning patterns as applied in the codebase 201- Match existing patterns for documenting breaking changes 202- Follow the same approach for deprecation notices` : ""} 203 204${VERSIONING == "CalVer" ? 205`- Follow Calendar Versioning patterns as applied in the codebase 206- Match existing patterns for documenting changes 207- Follow the same approach for highlighting significant changes` : ""} 208 209${VERSIONING == "Custom" ? 210`- Match the exact versioning pattern observed in the codebase 211- Follow the same changelog format used in existing documentation 212- Apply the same tagging conventions used in the project` : ""} 213 214## General Best Practices 215 216- Follow naming conventions exactly as they appear in existing code 217- Match code organization patterns from similar files 218- Apply error handling consistent with existing patterns 219- Follow the same approach to testing as seen in the codebase 220- Match logging patterns from existing code 221- Use the same approach to configuration as seen in the codebase 222 223## Project-Specific Guidance 224 225- Scan the codebase thoroughly before generating any code 226- Respect existing architectural boundaries without exception 227- Match the style and patterns of surrounding code 228- When in doubt, prioritize consistency with existing code over external best practices

2. Codebase Analysis Instructions

To create the copilot-instructions.md file, first analyze the codebase to:

  1. Identify Exact Technology Versions:

    • ${PROJECT_TYPE == "Auto-detect" ? "Detect all programming languages, frameworks, and libraries by scanning file extensions and configuration files" : Focus on ${PROJECT_TYPE} technologies}
    • Extract precise version information from project files, package.json, .csproj, etc.
    • Document version constraints and compatibility requirements
  2. Understand Architecture:

    • Analyze folder structure and module organization
    • Identify clear layer boundaries and component relationships
    • Document communication patterns between components
  3. Document Code Patterns:

    • Catalog naming conventions for different code elements
    • Note documentation styles and completeness
    • Document error handling patterns
    • Map testing approaches and coverage
  4. Note Quality Standards:

    • Identify performance optimization techniques actually used
    • Document security practices implemented in the code
    • Note accessibility features present (if applicable)
    • Document code quality patterns evident in the codebase

3. Implementation Notes

The final copilot-instructions.md should:

  • Be placed in the .github/copilot directory
  • Reference only patterns and standards that exist in the codebase
  • Include explicit version compatibility requirements
  • Avoid prescribing any practices not evident in the code
  • Provide concrete examples from the codebase
  • Be comprehensive yet concise enough for Copilot to effectively use

Important: Only include guidance based on patterns actually observed in the codebase. Explicitly instruct Copilot to prioritize consistency with existing code over external best practices or newer language features. "

Expected Output

A comprehensive copilot-instructions.md file that will guide GitHub Copilot to produce code that is perfectly compatible with your existing technology versions and follows your established patterns and architecture.

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