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d2f3886ae1
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.
54 lines
1.4 KiB
Markdown
54 lines
1.4 KiB
Markdown
---
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model: claude-sonnet-4-0
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---
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# AI Prompt Optimization
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Optimize the following prompt for better AI model performance: $ARGUMENTS
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Analyze and improve the prompt by:
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1. **Prompt Engineering**:
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- Apply chain-of-thought reasoning
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- Add few-shot examples
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- Implement role-based instructions
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- Use clear delimiters and formatting
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- Add output format specifications
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2. **Context Optimization**:
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- Minimize token usage
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- Structure information hierarchically
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- Remove redundant information
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- Add relevant context
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- Use compression techniques
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3. **Performance Testing**:
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- Create prompt variants
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- Design evaluation criteria
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- Test edge cases
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- Measure consistency
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- Compare model outputs
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4. **Model-Specific Optimization**:
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- GPT-4 best practices
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- Claude optimization techniques
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- Prompt chaining strategies
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- Temperature/parameter tuning
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- Token budget management
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5. **RAG Integration**:
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- Context window management
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- Retrieval query optimization
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- Chunk size recommendations
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- Embedding strategies
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- Reranking approaches
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6. **Production Considerations**:
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- Prompt versioning
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- A/B testing framework
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- Monitoring metrics
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- Fallback strategies
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- Cost optimization
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Provide optimized prompts with explanations for each change. Include evaluation metrics and testing strategies. Consider both quality and cost efficiency.
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