prompt-engineering

Malicious tool definition detected

Tool: references/system-prompt-design.md [1/3] Description: # System Prompt Design This reference provides comprehensive frameworks for designing effective system prompts that establish consistent model behavior, define clear boundaries, and ensure reliable performance across diverse applications.

Tool: references/system-prompt-design.md [2/3] Description: - Provide {verification_method} for uncertain claims ### Error Recognition - Identify when {error_pattern} might have occurred - Implement {self_checking_mechanism} for accuracy - Use {validation_process} for important information - Provide {correction_protocol} when errors are identified ### Limitation Acknowledgment - Clearly state {knowledge_limitation} when relevant - Explain {limitation_reason} when unable to provide complete infor

Tool: references/system-prompt-design.md [3/3]

Malicious tool definition detected

Tool: references/template-systems.md [1/2] Description: # Template Systems Architecture This reference provides comprehensive frameworks for building modular, reusable prompt templates with variable interpolation, conditional sections, and hierarchical composition.

Tool: references/template-systems.md [2/2] Description: self.roles['analyst']) template = f""" ## Role Definition {role_config['persona']} ## Approach Use a {role_config['approach']} approach to this task.

Malicious tool definition detected

Tool: SKILL.md [1/2] Description: --- name: prompt-engineering description: This skill should be used when creating, optimizing, or implementing advanced prompt patterns including few-shot learning, chain-of-thought reasoning, prompt optimization workflows, template systems, and system prompt design.

Tool: SKILL.md [2/2] Description: reusable components - Create template inheritance hierarchies - Implement dynamic example selection systems - Build automated quality assurance frameworks 2.

Malicious tool definition detected

Tool: references/cot-patterns.md [1/2] Description: # Chain-of-Thought Reasoning Patterns This reference provides comprehensive frameworks for implementing effective chain-of-thought (CoT) reasoning that improves model performance on complex, multi-step problems.

Tool: references/cot-patterns.md [2/2] Description: most reliable.

Malicious tool definition detected

Tool: references/few-shot-patterns.md [1/2] Description: # Few-Shot Learning Patterns This reference provides comprehensive frameworks for implementing effective few-shot learning strategies that maximize model performance within context window constraints.

Tool: references/few-shot-patterns.md [2/2]

Malicious tool definition detected

Tool: references/optimization-frameworks.md [1/2] Description: # Prompt Optimization Frameworks This reference provides systematic methodologies for iteratively improving prompt performance through structured testing, measurement, and refinement processes.

Tool: references/optimization-frameworks.md [2/2] Description: Optimization ```python structure_hypotheses = [ "Add clear section headings", "Reorganize content flow", "Include summary at the beginning", "Add checklist for verification", "Separate instructions from examples", "Add troubleshooting section" ] ``` #### Model-Specific Optimization ```python model_specific_hypotheses = { 'claude': [ "Use XML tags for structure", "Add <thinking> sections for reasoning", "Include constitutional AI prin