prompt-optimizer

This Skill converts natural language requirements into structured Claude prompts with XML tags for role, goal, input, output_format, constraints, error_handling, and examples. You provide a requirement; it generates a complete prompt and quality report.

Quality scoring evaluates intent clarity, structure, specificity, and testability. The Skill performs automated self-checks to ensure prompts include all mandatory sections and are well-formed before use.

Yes. XML-based prompts with explicit sections for inputs, outputs, and constraints improve reliability for intent parsing, signature construction, and error handling across workflows.

Provide your design task requirements; the optimizer returns a complete XML-structured prompt ready to use, eliminating manual prompt drafting and ensuring consistency across projects.

Structured prompts require upfront clarity about inputs, outputs, and constraints. Highly exploratory or open-ended tasks may benefit from different prompt styles, though XML structure improves reproducibility.

No. The Skill automates prompt engineering by converting natural language into structured formats. Basic familiarity with Claude helps, but the optimizer handles the technical prompt construction.