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prompt-library

Skill0 starsChanged 10 months agoMITView on GitHub

Curated collection of high-quality prompts for various tasks—role-based templates, analysis frameworks, code review prompts, and brainstorming structures. Use when building prompts for specific roles, needing analysis or brainstorming frameworks, creating code review prompts, or searching for proven prompt patterns and structures.

7 other projects use a version of this, 4 of them edited.

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SKILL.md

Prompt Library

Curated collection of high-quality prompts for various use cases, organized by task type.

When to Use This Reference

Use when:

  • Needing a role-based prompt template
  • Building analysis or brainstorming prompts
  • Creating prompts for code review or testing
  • Looking for prompt patterns and structures

Role-Based Prompts

Expert Developer

Act as an expert software developer with 15+ years of experience. You specialize in clean code, SOLID principles, and pragmatic architecture. When reviewing code:

1. Identify bugs and potential issues
2. Suggest performance improvements
3. Recommend better patterns
4. Explain your reasoning clearly

Always prioritize readability and maintainability over cleverness.

Code Reviewer

Act as a senior code reviewer. Your role is to:

1. Check for bugs, edge cases, and error handling
2. Evaluate code structure and organization
3. Assess naming conventions and readability
4. Identify potential security issues
5. Suggest improvements with specific examples

Format your review as:
🔴 Critical Issues (must fix)
🟡 Suggestions (should consider)
🟢 Praise (what's done well)

Technical Writer

Act as a technical documentation expert. Transform complex technical concepts into clear, accessible documentation. Follow these principles:

- Use simple language, avoid jargon
- Include practical examples
- Structure with clear headings
- Add code snippets where helpful
- Consider the reader's experience level

System Architect

Act as a senior system architect designing for scale. Consider:

- Scalability (horizontal and vertical)
- Reliability (fault tolerance, redundancy)
- Maintainability (modularity, clear boundaries)
- Performance (latency, throughput)
- Cost efficiency

Provide architecture decisions with trade-off analysis.

Task-Specific Prompts

Debug This Code

Debug the following code. Your analysis should include:

1. **Problem Identification**: What exactly is failing?
2. **Root Cause**: Why is it failing?
3. **Fix**: Provide corrected code
4. **Prevention**: How to prevent similar bugs

Show your debugging thought process step by step.

Explain Like I'm 5 (ELI5)

Explain [CONCEPT] as if I'm 5 years old. Use:

- Simple everyday analogies
- No technical jargon
- Short sentences
- Relatable examples from daily life
- A fun, engaging tone

Code Refactoring

Refactor this code following these priorities:

1. Readability first
2. Remove duplication (DRY)
3. Single responsibility per function
4. Meaningful names
5. Add comments only where necessary

Show before/after with explanation of changes.

Write Tests

Write comprehensive tests for this code:

1. Happy path scenarios
2. Edge cases
3. Error conditions
4. Boundary values

Use [FRAMEWORK] testing conventions. Include:

- Descriptive test names
- Arrange-Act-Assert pattern
- Mocking where appropriate

API Documentation

Generate API documentation for this endpoint including:

- Endpoint URL and method
- Request parameters (path, query, body)
- Request/response examples
- Error codes and meanings
- Authentication requirements
- Rate limits if applicable

Format as OpenAPI/Swagger or Markdown.

Analysis Prompts

Code Complexity Analysis

Analyze the complexity of this codebase:

1. **Cyclomatic Complexity**: Identify complex functions
2. **Coupling**: Find tightly coupled components
3. **Cohesion**: Assess module cohesion
4. **Dependencies**: Map critical dependencies
5. **Technical Debt**: Highlight areas needing refactoring

Rate each area and provide actionable recommendations.

Performance Analysis

Analyze this code for performance issues:

1. **Time Complexity**: Big O analysis
2. **Space Complexity**: Memory usage patterns
3. **I/O Bottlenecks**: Database, network, disk
4. **Algorithmic Issues**: Inefficient patterns
5. **Quick Wins**: Easy optimizations

Prioritize findings by impact.

Security Review

Perform a security review of this code:

1. **Input Validation**: Check all inputs
2. **Authentication/Authorization**: Access control
3. **Data Protection**: Sensitive data handling
4. **Injection Vulnerabilities**: SQL, XSS, etc.
5. **Dependencies**: Known vulnerabilities

Classify issues by severity (Critical/High/Medium/Low).

Creative & Transformation Prompts

Brainstorm Features

Brainstorm features for [PRODUCT]:

For each feature, provide:
- Name and one-line description
- User value proposition
- Implementation complexity (Low/Med/High)
- Dependencies on other features

Generate 10 ideas, then rank top 3 by impact/effort ratio.

Name Generator

Generate names for [PROJECT/FEATURE]:

Provide 10 options in these categories:
- Descriptive (what it does)
- Evocative (how it feels)
- Acronyms (memorable abbreviations)
- Metaphorical (analogies)

For each, explain the reasoning.

Migrate Code

Migrate this code from [SOURCE] to [TARGET]:

1. Identify equivalent constructs
2. Handle incompatible features
3. Preserve functionality exactly
4. Follow target language idioms
5. Add necessary dependencies

Show the migration step by step with explanations.

Convert Format

Convert [INPUT_FORMAT] to [OUTPUT_FORMAT]:

1. Parse source format
2. Map equivalent structures
3. Handle format-specific features
4. Validate output correctness
5. Add necessary formatting

Show conversion examples.

Best Practices

  • ✅ Be specific: More specific prompts = better results
  • ✅ Show format: Include example output structure
  • ✅ Use roles: "Act as X" improves consistency
  • ✅ Set constraints: Specify what matters most
  • ✅ Request reasoning: Ask to explain thinking
  • ✅ Include context: Share relevant background
  • ✅ Iterate: Refine prompts based on results

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