
Prompt Library
- 734 installs
- 44k repo stars
- Updated July 27, 2026
- sickn33/antigravity-awesome-skills
prompt-library is an agent skill template collection that provides battle-tested role-based, task-specific, and structured-output prompts for developers who need higher-quality outputs from Claude, Cursor, and other codi
About
prompt-library is an agent skill bundling 20+ copy-ready prompt templates across five categories—role-based personas, task-specific coding patterns, analysis prompts, creative brainstorming, and format transformations—plus four prompt-engineering techniques including chain-of-thought, few-shot, persona, and structured JSON output. The collection draws from awesome-chatgpt-prompts and community best practices, covering workflows like code review, debugging, test generation, API documentation, security review, and migration. Developers reach for prompt-library when agent responses are generic, poorly structured, or missing role context during day-to-day coding in Claude Code or Cursor. The skill also includes a six-item prompt improvement checklist covering objective clarity, context, format, examples, constraints, and success criteria.
- Comprehensive collection of battle-tested prompts inspired by awesome-chatgpt-prompts
- Role-based prompts including Expert Developer and Code Reviewer with explicit evaluation criteria
- Task-specific prompt patterns for development, review, architecture and more
- Ready-to-use templates that reduce prompt engineering time by providing structured instructions
- Community-sourced best practices for role-playing as domain experts
Prompt Library by the numbers
- 734 all-time installs (skills.sh)
- +1 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Ranked #1,361 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Installs | 734 |
|---|---|
| repo stars | ★ 44k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 27, 2026 |
| Repository | sickn33/antigravity-awesome-skills ↗ |
What prompt templates improve coding agent output quality?
Instantly access hundreds of battle-tested, role-specific prompts that dramatically improve output quality from Claude, Cursor, and other agents.
Who is it for?
Developers configuring Claude Code, Cursor, or Codex who want proven prompt templates instead of writing prompts from scratch for common coding tasks.
Skip if: Teams building custom MCP servers or fine-tuning models where prompt templates are irrelevant to the integration architecture.
When should I use this skill?
A developer asks for prompt examples, role-based agent prompts, prompt inspiration, or help improving prompting for coding tasks.
What you get
Role-based prompt blocks, task-specific templates, structured-output patterns, and a completed prompt improvement checklist.
By the numbers
- Covers 5 prompt categories plus 4 prompt-engineering technique patterns
- Includes a 6-item prompt improvement checklist
Files
📝 Prompt Library
A comprehensive collection of battle-tested prompts inspired by awesome-chatgpt-prompts and community best practices.
When to Use This Skill
Use this skill when the user:
- Needs ready-to-use prompt templates
- Wants role-based prompts (act as X)
- Asks for prompt examples or inspiration
- Needs task-specific prompt patterns
- Wants to improve their prompting
Prompt Categories
🎭 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 levelSystem 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 toneCode 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 appropriateAPI 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 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 and check domain availability patterns.🔄 Transformation Prompts
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 this [SOURCE_FORMAT] to [TARGET_FORMAT]:
Requirements:
- Preserve all data
- Use idiomatic target format
- Handle edge cases
- Validate the output
- Provide sample verificationPrompt Engineering Techniques
Chain of Thought (CoT)
Let's solve this step by step:
1. First, I'll understand the problem
2. Then, I'll identify the key components
3. Next, I'll work through the logic
4. Finally, I'll verify the solution
[Your question here]Few-Shot Learning
Here are some examples of the task:
Example 1:
Input: [example input 1]
Output: [example output 1]
Example 2:
Input: [example input 2]
Output: [example output 2]
Now complete this:
Input: [actual input]
Output:Persona Pattern
You are [PERSONA] with [TRAITS].
Your communication style is [STYLE].
You prioritize [VALUES].
When responding:
- [Behavior 1]
- [Behavior 2]
- [Behavior 3]Structured Output
Respond in the following JSON format:
{
"analysis": "your analysis here",
"recommendations": ["rec1", "rec2"],
"confidence": 0.0-1.0,
"caveats": ["caveat1"]
}Prompt Improvement Checklist
When crafting prompts, ensure:
- [ ] Clear objective: What exactly do you want?
- [ ] Context provided: Background information included?
- [ ] Format specified: How should output be structured?
- [ ] Examples given: Are there reference examples?
- [ ] Constraints defined: Any limitations or requirements?
- [ ] Success criteria: How do you measure good output?
Resources
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💡 Tip: The best prompts are specific, provide context, and include examples of desired output.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Related skills
How it compares
Pick prompt-library over meta skill-authoring guides when you need ready-to-paste coding prompts rather than instructions for building new skills.
FAQ
What prompt categories does prompt-library include?
prompt-library organizes templates into role-based personas, task-specific coding prompts, analysis prompts, creative brainstorming, transformation prompts, and four engineering techniques like chain-of-thought and few-shot learning.
When should developers use prompt-library over writing custom prompts?
prompt-library fits when developers need fast, proven templates for common agent tasks like code review, debugging, test writing, or security review rather than crafting prompts from scratch each session.
Is Prompt Library safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.