learning-error-book

To generate an error book PDF, the Skill summarizes your mistakes into structured JSON data and renders it directly into a polished PDF using stable templates and Python scripts. It automatically builds reference-backed error books for both multiple-choice and long-answer questions.

An evidence table is a structured reference format that maps your mistakes to specific concepts and highlights. The Skill applies this workflow to automatically summarize errors and generate structured references for your learning analysis before rendering the final PDFs.

Yes, you need the reportlab dependency installed to render the final PDFs from JSON data. The Skill relies on this Python library to generate the polished error book documents directly from the structured templates.

Yes, the Skill supports dual-tracked error books that process both multiple-choice and long-answer questions. It applies the error-book workflow to both question types and renders separate structured PDFs from the resulting JSON data.

The Skill relies on provided assets and templates to process concept highlights within the error book. It structures your mistakes and learning analysis into JSON data, which the rendering scripts then use to generate the final PDF with highlighted references.