IssacW228/student-llm-wiki

DirSkills catalogs 9 skills from this repository, across 2 categories: AI Engineering, Writing.

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πŸ“
2h ago

Exam Prep

Exam Prep generates practice questions from course concept pages, prioritizing low-confidence topics. Use it when preparing for an exam or when asked to make a quiz from a wiki.
AI Engineering
1764
πŸ“
2h ago

Exam Prep

Exam Prep generates practice questions from weak course concepts in a wiki. It scans concept pages, prioritizes low-confidence topics, and writes a mixed question set for exam review.
Writing
1764
πŸ“
2h ago

Exam Prep

Exam Prep generates practice questions from low-confidence concept pages for a course. Use it when preparing for an exam, making a quiz, or reviewing weak topics.
Writing
1764
πŸ“š
2h ago

Wiki Core

Wiki Core defines the operating rules for maintaining a student knowledge wiki in an Obsidian vault. Use it when ingesting, reviewing, or updating course notes and concept pages.
Writing
1764
πŸ—ΊοΈ
2h ago

Wiki Diagram

Wiki Diagram adds Mermaid diagrams to wiki pages when a concept is easier to understand visually. Use it for processes, architecture, sequences, hierarchies, comparisons, or when someone asks to diagram a concept.
Writing
1764
πŸ“š
2h ago

Wiki Ingest

Wiki Ingest turns a source file from raw/ into linked wiki pages for a course. Use it when ingesting a PDF, slide deck, or other course material into source, concept, and overview pages.
Writing
1764
🧭
2h ago

Wiki Lint

Wiki Lint health-checks a knowledge base for orphan pages, broken links, contradictions, stale concepts, and missing cross-links. It also applies the 30-day confidence decay rule and reports items to fix.
Writing
1764
🧠
2h ago

Wiki Review

Wiki Review uses Feynman-style questioning to check understanding of wiki concepts. Use it when you want to review a course or concept, quiz yourself, and generate practice questions for weak areas.
AI Engineering
1764
🧠
2h ago

Wiki Review

Wiki Review uses the Feynman technique to quiz understanding of study notes and course concepts. It asks bilingual follow-up questions, updates confidence on weak concepts, and can generate practice questions for review.
AI Engineering
1764