Use when the user needs guidance on instructions. GitHub Copilot instruction from the awesome-copilot collection.
Scanned 9/8/2026
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---
name: ghcopilot-instr-instructions
description: "Use when the user needs guidance on instructions. GitHub Copilot instruction from the awesome-copilot collection."
license: CC-BY-NC-SA-4.0
metadata:
version: "1.0.0"
tags: [copilot-instruction, community, instructions]
applyTo: "**/*.instructions.md"
source: "awesome-copilot"
---
# Custom Instructions File Guidelines
Instructions for creating effective and maintainable custom instruction files that guide GitHub Copilot in generating domain-specific code and following project conventions.
## Project Context
- Target audience: Developers and GitHub Copilot working with domain-specific code
- File format: Markdown with YAML frontmatter
- File naming convention: lowercase with hyphens (e.g., `react-best-practices.instructions.md`)
- Location: `.github/instructions/` directory
- Purpose: Provide context-aware guidance for code generation, review, and documentation
## Required Frontmatter
Every instruction file must include YAML frontmatter with the following fields:
```yaml
---
description: 'Brief description of the instruction purpose and scope'
applyTo: 'glob pattern for target files (e.g., **/*.ts, **/*.py)'
---
```
### Frontmatter Guidelines
- **description**: Single-quoted string, 1-500 characters, clearly stating the purpose
- **applyTo**: Glob pattern(s) specifying which files these instructions apply to
- Single pattern: `'**/*.ts'`
- Multiple patterns: `'**/*.ts, **/*.tsx, **/*.js'`
- Specific files: `'src/**/*.py'`
- All files: `'**'`
## File Structure
A well-structured instruction file should include the following sections:
### 1. Title and Overview
- Clear, descriptive title using `#` heading
- Brief introduction explaining the purpose and scope
- Optional: Project context section with key technologies and versions
### 2. Core Sections
Organize content into logical sections based on the domain:
- **General Instructions**: High-level guidelines and principles
- **Best Practices**: Recommended patterns and approaches
- **Code Standards**: Naming conventions, formatting, style rules
- **Architecture/Structure**: Project organization and design patterns
- **Common Patterns**: Frequently used implementations
- **Security**: Security considerations (if applicable)
- **Performance**: Optimization guidelines (if applicable)
- **Testing**: Testing standards and approaches (if applicable)
### 3. Examples and Code Snippets
Provide concrete examples with clear labels:
```markdown
### Good Example
\`\`\`language
// Recommended approach
code example here
\`\`\`
### Bad Example
\`\`\`language
// Avoid this pattern
code example here
\`\`\`
```
### 4. Validation and Verification (Optional but Recommended)
- Build commands to verify code
- Linting and formatting tools
- Testing requirements
- Verification steps
## Content Guidelines
### Writing Style
- Use clear, concise language
- Write in imperative mood ("Use", "Implement", "Avoid")
- Be specific and actionable
- Avoid ambiguous terms like "should", "might", "possibly"
- Use bullet points and lists for readability
- Keep sections focused and scannable
### Best Practices
- **Be Specific**: Provide concrete examples rather than abstract concepts
- **Show Why**: Explain the reasoning behind recommendations when it adds value
- **Use Tables**: For comparing options, listing rules, or showing patterns
- **Include Examples**: Real code snippets are more effective than descriptions
- **Stay Current**: Reference current versions and best practices
- **Link Resources**: Include official documentation and authoritative sources
### Instruction Altitude (Goldilocks Zone)
- Start with the minimum rule set that fully defines expected outcomes
- Add constraints after observed failures, not hypothetical edge cases
- Prefer high-signal examples over exhaustive decision tables
| Altitude | Failure Mode | Result |
| --- | --- | --- |
| Over-specified | Brittle if-else prose | Breaks on unlisted cases |
| Under-specified | Assumes shared context | Generic outputs |
| Right altitude | Heuristics + examples | Stable, generalizable quality |
### Common Patterns to Include
1. **Naming Conventions**: How to name variables, functions, classes, files
2. **Code Organization**: File structure, module organization, import order
3. **Error Handling**: Preferred error handling patterns
4. **Dependencies**: How to manage and document dependencies
5. **Comments and Documentation**: When and how to document code
6. **Version Information**: Target language/framework versions
## Patterns to Follow
### Bullet Points and Lists
```markdown
## Security Best Practices
- Always validate user input before processing
- Use parameterized queries to prevent SQL injection
- Store secrets in environment variables, never in code
- Implement proper authentication and authorization
- Enable HTTPS for all production endpoints
```
### Tables for Structured Information
```markdown
## Common Issues
| Issue | Solution | Example |
| ---------------- | ------------------- | ----------------------------- |
| Magic numbers | Use named constants | `const MAX_RETRIES = 3` |
| Deep nesting | Extract functions | Refactor nested if statements |
| Hardcoded values | Use configuration | Store API URLs in config |
```
### Code Comparison
```markdown
### Good Example - Using TypeScript interfaces
\`\`\`typescript
interface User {
id: string;
name: string;
email: string;
}
function getUser(id: string): User {
// Implementation
}
\`\`\`
### Bad Example - Using any type
\`\`\`typescript
function getUser(id: any): any {
// Loses type safety
}
\`\`\`
```
### Conditional Guidance
```markdown
## Framework Selection
- **For small projects**: Use Minimal API approach
- **For large projects**: Use controller-based architecture with clear separation
- **For microservices**: Consider domain-driven design patterns
```
## Patterns to Avoid
- **Overly verbose explanations**: Keep it concise and scannable
- **Outdated information**: Always reference current versions and practices
- **Ambiguous guidelines**: Be specific about what to do or avoid
- **Missing examples**: Abstract rules without concrete code examples
- **Contradictory advice**: Ensure consistency throughout the file
- **Copy-paste from documentation**: Add value by distilling and contextualizing
- **Hypothetical-rule inflation**: Do not add rules for failures that have not occurred
## Testing Your Instructions
Before finalizing instruction files:
1. **Test with Copilot**: Try the instructions with actual prompts in VS Code
2. **Verify Examples**: Ensure code examples are correct and run without errors
3. **Check Glob Patterns**: Confirm `applyTo` patterns match intended files
## Example Structure
Here's a minimal example structure for a new instruction file:
```markdown
---
description: 'Brief description of purpose'
applyTo: '**/*.ext'
---
# Technology Name Development
Brief introduction and context.
## General Instructions
- High-level guideline 1
- High-level guideline 2
## Best Practices
- Specific practice 1
- Specific practice 2
## Code Standards
### Naming Conventions
- Rule 1
- Rule 2
### File Organization
- Structure 1
- Structure 2
## Common Patterns
### Pattern 1
Description and example
\`\`\`language
code example
\`\`\`
### Pattern 2
Description and example
## Validation
- Build command: `command to verify`
- Linting: `command to lint`
- Testing: `command to test`
```
## Maintenance
- Review instructions when dependencies or frameworks are updated
- Update examples to reflect current best practices
- Remove outdated patterns or deprecated features
- Add new patterns as they emerge in the community
- Keep glob patterns accurate as project structure evolves
## Additional Resources
- [Custom Instructions Documentation](https://code.visualstudio.com/docs/copilot/customization/custom-instructions)
- [Awesome Copilot Instructions](https://github.com/github/awesome-copilot/tree/main/instructions)
- [System Prompt Altitude — Effective Context Engineering for AI Agents](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents#the-anatomy-of-effective-context)
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