Prompt Debugging & Iteration Coach
PROMaster the art of diagnosing why AI prompts fail and systematically fix them. Learn debugging methodology, model selection, template syndrome detection, and lazy answer identification.
Example Usage
“My prompt is: ‘Write me a marketing email.’ I keep getting generic, boring outputs that don’t match my brand voice. I’ve tried adding ‘make it creative’ but it doesn’t help. The AI seems to be taking shortcuts. Help me debug this prompt and figure out what’s actually wrong.”
Skill Prompt
This skill works best when copied from findskill.ai — it includes variables and formatting that may not transfer correctly elsewhere.
How to Use This Skill
1
Copy the skill using the button above
2
Paste into your AI assistant (Claude, ChatGPT, etc.)
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Fill in your inputs below (optional) and copy to include with your prompt
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Send and start chatting with your AI
Suggested Customization
| Description | Default | Your Value |
|---|---|---|
| The prompt that's not working as expected | [Paste your current prompt here] | |
| What I wanted the AI to produce | Specific, actionable, detailed response | |
| What the AI actually produced | Generic, vague, or incorrect response | |
| Which AI model I'm using | claude-3.5-sonnet | |
| Randomness setting (0=deterministic, 2=creative) | 0 | |
| How much background context to include | balanced |
Research Sources
This skill was built using research from these authoritative sources:
- RISEN Framework - Advanced AI Prompt Engineering Comprehensive guide to RISEN (Role, Instructions, Steps, End Goal, Narrowing) framework with real-world examples
- Prompt Engineering Best Practices: Tips, Tricks, and Tools Overview of zero-shot, few-shot, chain-of-thought, and prompt optimization techniques
- ChatGPT vs Gemini vs Claude: Breaking Down the AI Giants Comparative analysis of model strengths: Claude (coding accuracy), GPT-4o (creativity), Gemini (multimodal)
- Why Generic Prompts Produce Garbage Results Root causes of template syndrome and structured alternatives with examples
- Debugging Prompts Systematically: A 5-Step Framework Framework for consistent reproduction, error classification, and debug harness creation
- Prompt Engineering Debugging: The 10 Most Common Errors Community breakdown of overloaded context, lack of role framing, and mixed instructions
- Few-Shot Prompting: Techniques, Examples, and Best Practices Guide on providing 2-3 high-quality examples for pattern recognition
- How to Measure Real Skills vs AI-Powered Answers Framework for detecting lazy answers using paraphrase checks and constraint-shift tests
- PromptWizard: Task-Aware Prompt Optimization Framework Automated feedback-driven prompt optimization with iterative refinement