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Skill / Understand Copilot Instructions Collection
Technology-agnostic prompt generator that creates customizable AI prompts for...
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
# Code Exemplars Blueprint Generator
## Configuration Variables
${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|TypeScript|React|Angular|Python|Other"} <!-- Primary technology -->
${SCAN_DEPTH="Basic|Standard|Comprehensive"} <!-- How deeply to analyze the codebase -->
${INCLUDE_CODE_SNIPPETS=true|false} <!-- Include actual code snippets in addition to file references -->
${CATEGORIZATION="Pattern Type|Architecture Layer|File Type"} <!-- How to organize exemplars -->
${MAX_EXAMPLES_PER_CATEGORY=3} <!-- Maximum number of examples per category -->
${INCLUDE_COMMENTS=true|false} <!-- Include explanatory comments for each exemplar -->
## Generated Prompt
"Scan this codebase and generate an exemplars.md file that identifies high-quality, representative code examples. The exemplars should demonstrate our coding standards and patterns to help maintain consistency. Use the following approach:
### 1. Codebase Analysis Phase
- ${PROJECT_TYPE == "Auto-detect" ? "Automatically detect primary programming languages and frameworks by scanning file extensions and configuration files" : `Focus on ${PROJECT_TYPE} code files`}
- Identify files with high-quality implementation, good documentation, and clear structure
- Look for commonly used patterns, architecture components, and well-structured implementations
- Prioritize files that demonstrate best practices for our technology stack
- Only reference actual files that exist in the codebase - no hypothetical examples
### 2. Exemplar Identification Criteria
- Well-structured, readable code with clear naming conventions
- Comprehensive comments and documentation
- Proper error handling and validationSign in to view the full prompt.
Sign InTags
Classification
Skill Capability with explicit trigger pattern
Skill Understand
Explain or analyzeScope Project
This codebase Invoked Called by name -- slash commands, named tools