optimize-prompt

Optimize prompts for better AI performance. Use when user says "improve this prompt for better results", "optimize this prompt to reduce tokens", "apply prompt engineering best practices to this", "make this prompt more effective", "help me refine this system prompt", or "tune this prompt for the AI model I'm using".

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Install this agent skill to your Project

npx add-skill https://github.com/Uniswap/ai-toolkit/tree/next/packages/plugins/development-productivity/skills/optimize-prompt

SKILL.md

Prompt Optimizer

Optimize prompts for better AI model performance using engineering techniques.

When to Activate

User wants to improve a prompt
Token efficiency needed
Better AI responses desired
Prompt engineering techniques requested
Model-specific optimization needed

Optimization Areas

1. Prompt Engineering

Chain-of-thought reasoning
Few-shot examples
Role-based instructions
Clear delimiters and formatting
Output format specifications

2. Context Optimization

Minimize token usage
Hierarchical information structure
Remove redundancy
Add relevant context
Compression techniques

3. Performance Testing

Create prompt variants
Design evaluation criteria
Test edge cases
Measure consistency
Compare outputs

4. Model-Specific Optimization

GPT-4 best practices
Claude optimization techniques
Prompt chaining strategies
Temperature/parameter tuning
Token budget management

5. RAG Integration

Context window management
Retrieval query optimization
Chunk size recommendations
Embedding strategies
Reranking approaches

6. Production Considerations

Prompt versioning
A/B testing framework
Monitoring metrics
Fallback strategies
Cost optimization

Output

Provides:

Optimized prompt variants
Explanations for each change
Evaluation metrics
Testing strategies
Quality and cost considerations