prompt-extractor

To extract reusable templates from a large prompt collection, you can input your prompts via txt, csv, json, or direct paste. The system deduplicates, normalizes, and clusters prompts to output a structured module library and analysis report.

Prompt clustering groups large prompt sets into themes to reveal design patterns. This clustering helps build a scalable prompt library by extracting modular structures, enabling quick generation of reusable templates from your existing prompts.

Yes, you can analyze prompts directly from a CSV or JSON file. The smart parsing feature accepts txt, csv, and json file paths, performing deduplication and normalization to generate machine-readable module outputs.

The best way to turn single text prompts into modular prompt components is by pasting them directly. The system analyzes the prompt to extract its modular structure, outputting machine-readable JSON files for seamless reuse.

Extracting prompt modules generates machine-readable and human-readable outputs, specifically extracted_modules.json, module_library.json, and analysis_report.md. These files are saved in a designated results directory for easy reuse.

No, you do not need to clean and deduplicate prompts before extracting modules. The system automatically performs deduplication and normalization during the smart parsing phase before clustering and module extraction.