Files
agents/tools/prompt-optimize.md
Seth Hobson ce7a5938c1 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

This prepares the repository for unified plugin marketplace integration.
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 08:25:17 -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.