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Syllabus Reading List Generator

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18k
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Learning & Documentation

Generates professional, peer-reviewed supplementary reading lists and discussion questions from course syllabi using the Consensus academic search engine.

The Syllabus skill automates the creation of academic reading lists by parsing course documents and searching the Consensus database for the most recent and relevant peer-reviewed papers. It intelligently adapts to different audience levels—from undergraduate to doctoral—ensuring summaries and discussion questions use the appropriate level of technical jargon. By using 'applied-domain weaving,' it finds papers that bridge theoretical concepts with real-world applications, delivering a formatted .docx file complete with clickable links, plain-language summaries, and Bloom-higher-order discussion questions mapped to learning outcomes.

Key Features

01Audience-calibrated summaries for undergraduate, graduate, or professional levels
02Professional .docx export with clickable source links and audit logs
03Consensus academic search integration for verified, recent peer-reviewed sources
04Automatic generation of higher-order Bloom's taxonomy discussion questions
0517,960 GitHub stars
06Multi-format syllabus parsing (PDF, DOCX, Text, or Images)

Use Cases

01Instructors updating course materials with the latest peer-reviewed research
02Academic designers building out new curriculum modules with evidence-based resources
03Students looking for supplementary materials to deepen their understanding of course topics