Cornell Notes

Cornell Notes

When to Use

Use this skill when the learner wants a completed Cornell notes artifact -- a fully filled-in, study-ready document -- from source material they provide.

Trigger scenarios:

• A student says "make Cornell notes for my lecture on [topic]" or "convert my notes into Cornell format"
• A learner pastes raw lecture notes, a textbook excerpt, a transcript, or bullet-point outlines and asks for structured notes
• Someone preparing for an exam asks to organize their review material using the Cornell method
• A learner who already knows the Cornell system wants the AI to do the heavy lifting of structuring their messy notes
• A student asks to "fill out" or "set up" Cornell notes for a specific chapter, unit, or concept
• Someone explicitly mentions wanting a cue column, notes section, and summary for their material
• A learner wants to revisit old notes and reformat them into Cornell structure for active recall practice

Do NOT use when:

• The learner wants to connect ideas visually across a concept or topic web -- use concept-mapping instead
• The learner wants to compare, merge, or synthesize multiple source documents into a single set of unified notes -- use note-synthesis instead
• The learner wants flashcards or retrieval practice cards generated from their material -- use flashcard-generation instead
• The learner wants to test themselves with practice questions -- use exam-practice instead
• The learner is an educator designing a lesson plan or handout for students -- use an appropriate teaching-materials skill instead
• The learner wants a mind map or outline format -- these are structurally different from Cornell notes and serve different cognitive purposes
• The content is primarily mathematical derivations or proofs -- raw symbolic math does not map cleanly to the Cornell prose structure; suggest a worked-example format instead

Process

Step 1: Gather the Essential Inputs

Before producing any notes, collect what you need. Do not guess or fabricate content.

• Source material -- This is the most critical input. Ask the learner to paste or describe: a lecture transcript, a slide deck summary, raw bullet-point notes, a textbook passage, or a video outline. If none is provided, ask for it before proceeding.
• Subject and specific topic -- Confirm both. "Biology" is insufficient; "Biology -- Cell Membrane Transport Mechanisms" is the right level of specificity.
• Depth and scope -- Ask how much material needs to be covered. A single lecture (typically 45--90 minutes of content) is ideal for one Cornell notes page. If the material is longer, plan to divide it into logical sub-sections, each treated as its own Cornell page or clearly demarcated block.
• Purpose -- Is the learner preparing for an exam, building foundational understanding, or revisiting material from weeks ago? This affects how much depth to put into the cue column and how synthesis-heavy the summary should be.
• Knowledge level -- A beginner needs definitions embedded in the notes; an advanced student needs connections, contrasts, and edge cases highlighted. Ask if unclear.

If the learner provides all of this unprompted, proceed directly to Step 2 without asking redundant questions.