intent.md (placeholder)

Intent extraction rules parse user input to classify requirements into task types—analysis, generation, extraction, transformation—then generate optimized Claude prompts with structured XML-like output, mandatory tags, and explicit instructions aligned to Claude 4.x specifications.

Intent classification identifies the underlying task type in user requests, enabling accurate prompt generation. Use it when you need consistent, high-quality Claude prompts that satisfy both functional requirements and technical evaluation across eight quality dimensions.

Apply intent extraction rules to build prompts with mandatory XML-like tags, forward-facing instructions, and prefill techniques. Evaluate output across eight dimensions totaling 80 points to ensure prompts meet Claude 4.x optimization standards for classification and extraction.

Yes. Intent rules apply across extraction, generation, transformation, and analysis tasks. The framework converts requirements into structured prompts with explicit instructions and evaluation criteria tailored to each task type's functional and technical needs.

Optimized prompts include mandatory structured tags, explicit forward-facing instructions, prefill techniques, and measurable evaluation across eight dimensions. Intent extraction rules ensure prompts satisfy both functional requirements and technical assessment criteria for consistent, high-quality outputs.

Intent extraction focuses on structured, well-defined task types. Highly ambiguous or multi-intent requests may require iterative refinement, and the eight-dimension evaluation framework applies best to classification, extraction, and transformation—less directly to open-ended generation tasks.