Files
agents/tools/prompt-optimize.md
Seth Hobson d2f3886ae1 Consolidate workflows and tools from commands repository
Repository Restructure:
- Move all 83 agent .md files to agents/ subdirectory
- Add 15 workflow orchestrators from commands repo to workflows/
- Add 42 development tools from commands repo to tools/
- Update README for unified repository structure

The commands repository functionality is now fully integrated, providing
complete workflow orchestration and development tooling alongside agents.

Directory Structure:
- agents/    - 83 specialized AI agents
- workflows/ - 15 multi-agent orchestration commands
- tools/     - 42 focused development utilities

No breaking changes to agent functionality - all agents remain accessible
with same names and behavior. Adds workflow and tool commands for enhanced
multi-agent coordination capabilities.
2025-10-08 08:28:33 -04:00

1.4 KiB

model
model
claude-sonnet-4-0

AI Prompt Optimization

Optimize the following prompt for better AI model performance: $ARGUMENTS

Analyze and improve the prompt by:

  1. Prompt Engineering:

    • Apply chain-of-thought reasoning
    • Add few-shot examples
    • Implement role-based instructions
    • Use clear delimiters and formatting
    • Add output format specifications
  2. Context Optimization:

    • Minimize token usage
    • Structure information hierarchically
    • Remove redundant information
    • Add relevant context
    • Use compression techniques
  3. Performance Testing:

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

Provide optimized prompts with explanations for each change. Include evaluation metrics and testing strategies. Consider both quality and cost efficiency.