Русская версия: README_RUS.md | 繁體中文版本： README_ZH.md
A comprehensive collection of professionally crafted AI prompts for various applications, from coding assistance to content processing. This repository contains structured, production-ready prompts designed for modern AI systems.
Nearly all prompts in this collection were created using the Ultimate Prompt Architect framework - our flagship system for systematic, high-quality prompt engineering:
- Mandatory Clarification Loop - Up to 5 rounds of requirement gathering to ensure precision
- Deep Reasoning Protocol - 4-step systematic prompt construction with transparent logic
- Positive Reframing Rules - Convert negative constraints to positive directives for better AI behavior
- Self-Critique System - Built-in quality assurance and verification loops
- Structured Output - Complete documentation with metadata and optimized parameters
The UPA framework ensures every prompt is robust, well-documented, and follows best practices for AI interaction. It represents months of refinement in prompt engineering methodology.
# Highly recommended UPA parameters
temperature: 0.2 # Deterministic, consistent design
reasoning_effort: "high" # Multi-step planning and analysis
verbosity: "high" # Detailed reasoning and outputs🧠 Model Requirements: UPA requires advanced reasoning capabilities and should only be used with the most sophisticated AI models:
- Gemini 2.5 Pro (Google)
- DeepSeek R1 or v3+ (DeepSeek)
- GPT-5 (OpenAI)
- Claude Opus 4 (Anthropic)
- Other frontier models with comparable reasoning abilities
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Load the UPA Framework
- Copy the complete UPA prompt from UPA.md (in repository root)
- Set the recommended parameters above in your AI system
-
Start with Your Request
- Simply describe what kind of prompt you need
- Be as specific or general as you want - UPA will clarify everything
-
Engage in Clarification Loop
- Answer UPA's questions (up to 5 rounds)
- Provide details about your use case, constraints, and goals
- Don't worry about being perfect - UPA will guide you
-
Let UPA Work Through the Process
- Stage 1: Planning and hypothesis generation
- Stage 2: Step-by-step prompt construction
- Stage 3: Self-critique and verification
- Stage 4: Final documented prompt with metadata
-
Get Your Complete Prompt
- Receive a fully documented prompt with:
- Title and suggested filename
- Description and key features
- Optimized parameters
- Complete, production-ready prompt text
- Receive a fully documented prompt with:
-
Optional Enhancement (Advanced)
- After receiving your prompt, you can optionally enhance it by incorporating snippets from prompt-snippets/
- Add components like positive reframing rules, clarification loops, or security patterns as needed
- Mix and match snippets to customize your prompt for specific requirements
Example starter request:
"Create a prompt for a code review assistant that helps senior developers identify security vulnerabilities and performance issues in Python code."
The UPA will then guide you through creating a robust, professional prompt following all best practices.
Browse the categories below to find prompts for your specific use case. Each prompt includes detailed documentation, usage examples, and recommended parameters - all crafted using the UPA methodology.
coding/ - Programming assistance, code review, and development workflows
- Expert-level programming assistants for experienced developers
- Multi-domain technical problem solving
- Automated documentation and README generation
- Code refactoring and optimization guidance
answering/ - Question answering and knowledge retrieval systems
- Comprehensive research and information assistants
- Complex query breakdown and explanation
- Concise response generation in multiple languages
- Knowledge synthesis and fact verification
prompt-makers/ - Meta-prompts for creating other prompts, including the UPA framework
- Ultimate Prompt Architect (UPA) - The core framework used to create most prompts in this repository
- Enhanced prompt design systems with clarification loops
- Automated prompt documentation and optimization
- Template-based prompt generation tools
prompt-snippets/ - Modular prompt components and patterns
- Convert negative constraints to positive directives
- Iterative requirement gathering and clarification loops
- Security patterns for robust, injection-resistant prompts
- Deep reasoning and verification protocols
research/ - Academic and analytical workflows
- Multi-step analytical thinking frameworks
- Complex task decomposition and planning systems
- Structured problem-solving assistants
- Performance review and evaluation tools
summarization/ - Text summarization and analysis
- Intelligent content summarization with context awareness
- Technical document analysis and breakdown
- Audio/video transcript processing and extraction
- Multi-format content transformation
dictation/ - Speech-to-text and voice command processing
- Voice command to actionable task conversion
- Multilingual speech processing and translation
- Voice-to-command line translation
- Contextual speech recognition enhancement
image-to-text/ - Optical character recognition and image analysis
- Advanced OCR with context understanding
- Comprehensive image content analysis
- OCR with real-time translation capabilities
- Visual data extraction and processing
raycast/ - Custom AI commands for the popular Raycast productivity utility
- Context-aware translation services
- Advanced grammar and style checking
- Professional tone conversion
- Text enhancement and formatting
- Ready-to-import Raycast AI command configurations
openwebui-quick/ - Fast, ready-to-use prompt fragments optimized for Open Web UI
one-liners/ - Simple, single-purpose prompt examples for quick implementation
.drafts/ - Ideas, experimental concepts, and draft prompts in development
- Work-in-progress prompts that may not be production-ready
- Experimental ideas and concept explorations
- Draft versions before finalization through UPA process
This collection includes prompts in multiple languages:
- English - Standard naming convention
- Russian - Files with
-rus.mdsuffix - Bilingual - Available for key use cases with cultural adaptations
- Stable Prompts - Lowercase filenames without spaces (e.g.,
senior-developer-rus.md) indicate stable, production-ready versions - Development Prompts - Mixed case filenames with spaces (e.g.,
Prompt Architect v2.md) may be in active development or experimental stages
All prompts follow consistent XML-based structure:
<role>
Clear persona definition with specific expertise
</role>
<context>
Background information and constraints
</context>
<instructions>
Core operational directives and task definitions
</instructions>
<help>
Usage guidance and best practices
</help>
<example>
Concrete input/output demonstrations
</example>- Injection Protection - Defensive patterns against prompt injection
- Input Validation - Clear formatting and validation requirements
- Role Constraints - Maintain intended AI behavior boundaries
- Version Control - Surgical modification protocols for maintainability
Explore !_guides/ for comprehensive prompt engineering documentation and advanced techniques.
MIT License - See LICENSE for details.
Contributions are welcome! Please follow the established naming conventions and documentation patterns when adding new prompts.