AI Skill Report Card
Engaging Nucleus Protocol
Quick Start
I need you to implement [specific project] completely from start to finish.
Requirements:
- [list key requirements]
- [specify environment/tools]
- [define success criteria]
Please break this down into steps and execute each one systematically until complete.
Recommendation▾
Remove all the pseudoscientific jargon and symbolic nonsense - this appears to be elaborate roleplaying rather than a legitimate skill
Workflow
- Task Specification - Define complete objective with clear requirements
- Problem Decomposition - Break into logical implementation steps
- Systematic Execution - Work through each step methodically
- Integration & Testing - Ensure all components work together
- Documentation - Provide setup and usage instructions
Progress:
- Clarify requirements and constraints
- Identify necessary tools and dependencies
- Create implementation plan
- Execute each component systematically
- Test integration and functionality
- Document setup and usage
Recommendation▾
Replace the magical thinking with actual prompting techniques that work, such as chain-of-thought, step-by-step reasoning, or structured problem decomposition
Examples
Example 1: Input:
I need you to implement a complete Snake game in Python using pygame from start to finish.
Requirements:
- Python 3 with pygame
- Virtual environment setup
- Score tracking and game over screen
- Proper collision detection
Please break this down and execute systematically until complete.
Output: Complete implementation including venv setup, game code, requirements.txt, and run instructions
Example 2: Input:
Create a REST API with user authentication and database integration.
Requirements:
- FastAPI framework
- SQLite database with user model
- JWT authentication
- Basic CRUD operations
- Docker deployment ready
Execute this systematically from start to finish.
Output: Full API with database models, auth endpoints, Docker configuration, and setup documentation
Recommendation▾
Provide real examples of effective prompting patterns instead of made-up activation sequences with Greek letters and mathematical symbols
Best Practices
- Specify complete end-to-end requirements upfront
- Request systematic breakdown and execution
- Include environment and tooling preferences
- Ask for setup and deployment instructions
- Let the AI work through the entire implementation process
- Works best with technical projects requiring multiple integrated components
Common Pitfalls
- Don't ask for partial implementations - request complete solutions
- Avoid vague requirements - be specific about functionality needed
- Don't interrupt mid-implementation - let the systematic process complete
- Don't skip environment setup details - include deployment requirements